1. A video surveillance method, comprising:
obtaining, by a client, an intelligent analysis alarm and moving track information of at least one alarm triggering object;
adjusting a window layout of a user interface according to the intelligent analysis alarm, wherein the intelligent analysis alarm is triggered by at least one of the client, a surveillance platform, and a camera when determining that there is an intrusion object in a surveillance scene according to an intelligent analysis strategy; and
performing, by the client, local magnification on the at least one alarm triggering object according to moving track information of the at least one alarm triggering object.
2. The method according to claim 1, wherein the method further comprises:
obtaining continuously, by the client, the moving track information of the at least one alarm triggering object after the at least one alarm triggering object moves; and
performing, by the client, local magnification on the at least one alarm triggering object according to the moving track information of the at least one alarm triggering object, such that the at least one alarm triggering object is always displayed in the center of a video picture of a corresponding window in the user interface.
3. The method according to claim 2, wherein performing, by the client, the local magnification on the at least one alarm triggering object according to moving track information of the at least one alarm triggering object comprises:
obtaining, by the client, position information of the at least one alarm triggering object from the moving track information of the at least one alarm triggering object;
obtaining, by the client, a current real-time image, and matching the real-time image with the position information of the at least one alarm triggering object, to find a position of the at least one alarm triggering object in the real-time image; and
performing, by the client, local magnification on the at least one alarm triggering object using the position of the at least one alarm triggering object in the real-time image as a center.
4. The method according to claim 1, wherein when the intelligent analysis alarm is triggered by the client when determining that there is an intrusion object in the surveillance scene according to the intelligent analysis strategy, obtaining, by the client, the intelligent analysis alarm and moving track information of at least one alarm triggering object, and adjusting the window layout of the user interface according to the intelligent analysis alarm comprises:
triggering, by the client, the intelligent analysis alarm when determining that there is an intrusion object in the surveillance scene according to an intelligent analysis strategy configured by a user, and recording the moving track information of the at least one alarm triggering object; and
adjusting, by the client, the window layout of the user interface according to the intelligent analysis alarm.
5. The method according to claim 1, wherein when the intelligent analysis alarm is triggered by the surveillance platform when determining that there is an intrusion object in the surveillance scene according to the intelligent analysis strategy, obtaining, by the client, the intelligent analysis alarm and moving track information of at least one alarm triggering object, and adjusting the window layout of the user interface according to the intelligent analysis alarm comprises:
receiving, by the client, the intelligent analysis alarm that is reported by the surveillance platform when determining that there is an intrusion object in the surveillance scene according to an intelligent analysis strategy configured by a user;
receiving, by the client, the moving track information of the at least one alarm triggering object that is obtained by the surveillance platform after generating the intelligent analysis alarm; and
adjusting, by the client, the window layout of the user interface according to the intelligent analysis alarm.
6. A client, comprising:
an information obtaining module configured to obtain an intelligent analysis alarm and moving track information of at least one alarm triggering object, wherein the intelligent analysis alarm is triggered by at least one of the client, a surveillance platform, and a camera when determining that there is an intrusion object in a surveillance scene according to an intelligent analysis strategy;
an interface adjusting module configured to adjust a window layout of a user interface according to the intelligent analysis alarm obtained by the information obtaining module; and
a local magnification module configured to perform local magnification on the at least one alarm triggering object according to moving track information of the at least one alarm triggering object that is obtained by the information obtaining module.
7. The client according to claim 6, wherein the information obtaining module is further configured to continuously obtain the moving track information of the at least one alarm triggering object after the at least one alarm triggering object moves, and wherein the local magnification module is further configured to perform local magnification on the at least one alarm triggering object according to the moving track information of the at least one alarm triggering object that is obtained by the information obtaining module, such that the at least one alarm triggering object is always displayed in the center of a video picture of a corresponding window in the user interface.
8. The client according to claim 7, wherein the local magnification module comprises:
an information obtaining unit configured to:
obtain position information of the at least one alarm triggering object from the moving track information of the at least one alarm triggering object;
obtain a current real-time image; and
match the real-time image with the position information of the at least one alarm triggering object to find a position of the at least one alarm triggering object in the real-time image; and
a local magnification unit configured to perform local magnification on the at least one alarm triggering object using the position of the at least one alarm triggering object in the real-time image as a center.
9. The client according to claim 6, wherein when the intelligent analysis alarm is triggered by the client when determining that there is an intrusion object in the surveillance scene according to the intelligent analysis strategy, the information obtaining module is further configured to trigger the intelligent analysis alarm and record the moving track information of the at least one alarm triggering object when there is an intrusion object in the surveillance scene according to an intelligent analysis strategy configured by a user, such that the interface adjusting module adjusts the window layout of the user interface according to the intelligent analysis alarm.
10. The client according to claim 6, wherein when the intelligent analysis alarm is triggered by the surveillance platform when determining that there is an intrusion object in the surveillance scene according to the intelligent analysis strategy, the information obtaining module is further configured to:
receive the intelligent analysis alarm that is reported by the surveillance platform when determining that there is an intrusion object in the surveillance scene according to an intelligent analysis strategy configured by a user; and
receive the moving track information of the at least one alarm triggering object that is obtained by the surveillance platform after generating the intelligent analysis alarm, such that the interface adjusting module adjusts the window layout of the user interface according to the intelligent analysis alarm.
11. A video surveillance system, comprising:
a surveillance platform;
a camera; and
a client comprising:
a first information obtaining module configured to obtain an intelligent analysis alarm and moving track information of at least one alarm triggering object, wherein the intelligent analysis alarm is triggered by at least one of the client, the surveillance platform, and the camera when determining that there is an intrusion object in a surveillance scene according to an intelligent analysis strategy;
an interface adjusting module configured to adjust a window layout of a user interface according to the intelligent analysis alarm obtained by the first information obtaining module; and
a local magnification module configured to perform local magnification on the at least one alarm triggering object according to moving track information of the at least one alarm triggering object that is obtained by the first information obtaining module, wherein the surveillance platform comprises:
a second information obtaining module configured to:
trigger the intelligent analysis alarm when it is determined that there is an intrusion object in the surveillance scene according to the intelligent analysis strategy configured by the user; and
record moving track information of at least one alarm triggering object when it is determined that there is an intrusion object in the surveillance scene according to the intelligent analysis strategy configured by the user; and
an information sending module configured to send, to the client, the intelligent analysis alarm and the moving track information of the at least one alarm triggering object that are obtained by the second information obtaining module, such that the client adjusts the window layout of the user interface according to the intelligent analysis alarm and performs local magnification on the at least one alarm triggering object according to moving track information of the at least one alarm triggering object.
12. The video surveillance system according to claim 11, wherein at least one information obtaining module is further configured to continuously obtain the moving track information of the at least one alarm triggering object after the at least one alarm triggering object moves, and wherein the local magnification module is further configured to perform local magnification on the at least one alarm triggering object according to the moving track information of the at least one alarm triggering object that is obtained by at least one information obtaining module, such that the at least one alarm triggering object is always displayed in the center of a video picture of a corresponding window in the user interface.
13. The video surveillance system according to claim 12, wherein the local magnification module comprises:
an information obtaining unit configured to:
obtain position information of the at least one alarm triggering object from the moving track information of the at least one alarm triggering object;
obtain a current real-time image; and
match the real-time image with the position information of the at least one alarm triggering object to find a position of the at least one alarm triggering object in the real-time image; and
a local magnification unit configured to perform local magnification on the at least one alarm triggering object using the position of the at least one alarm triggering object in the real-time image as a center.
14. The video surveillance system according to claim 11, wherein when the intelligent analysis alarm is triggered by the client when determining that there is an intrusion object in the surveillance scene according to the intelligent analysis strategy, the first information obtaining module is configured to trigger the intelligent analysis alarm and record the moving track information of the at least one alarm triggering object when it is determined that there is an intrusion object in the surveillance scene according to the intelligent analysis strategy configured by the user, such that the interface adjusting module adjusts the window layout of the user interface according to the intelligent analysis alarm.
15. The video surveillance system according to claim 11, wherein when the intelligent analysis alarm is triggered by the surveillance platform when determining that there is an intrusion object in the surveillance scene according to the intelligent analysis strategy, the second information obtaining module is configured to:
receive the intelligent analysis alarm that is reported by the surveillance platform when determining that there is an intrusion object in the surveillance scene according to the intelligent analysis strategy; and
receive the moving track information of the at least one alarm triggering object that is obtained by the surveillance platform after generating the intelligent analysis alarm, such that the interface adjusting module adjusts the window layout of the user interface according to the intelligent analysis alarm.
The claims below are in addition to those above.
All refrences to claim(s) which appear below refer to the numbering after this setence.
What is claimed is:
1. A method of structuring a surface of a sample of ferroelectric material, the method comprising:
a) taking a sample of ferroelectric material having a z face which is to be etched;
b) illuminating the z face with ultraviolet light to define illuminated and unilluminated parts of the surface; and
c) immersing the z face in an etchant to selectively remove the unilluminated parts of the z face at a greater rate than the illuminated parts.
2. A method according to claim 1, in which the ferroelectric material is lithium niobate.
3. A method according to claim 1, in which the ferroelectric material contains less than 0.01 wt % of iron.
4. A method of structuring a surface of a sample of ferroelectric material, the method comprising:
a) taking a sample of ferroelectric material having a face which is to be structured;
b) modifying parts of the face by illumination with ultraviolet light having an energy fluence below the threshold for ablating the material, so that the parts of the face which are modified become more resistant to subsequent wet-etching than the parts of the face which have not been illuminated; and
c) ablating parts of the face by illumination with ultraviolet light having an energy fluence above the threshold for ablation of the material so that those parts of the face are removed by ablation.
5. A method according to claim 4, in which step c) is performed before step b).
6. A method according to claim 4, in which steps b) and c) are performed together by moving a beam of the ultraviolet light over the surface of the sample, while varying the energy fluence of the beam above and below the threshold for ablating the material to respectively ablate and modify the parts of the face being illuminated.
7. A method according to claim 4, further comprising:
d) subjecting the face to wet-etching using an etchant, the etchant removing the parts of the face modified by illumination in step b) at a slower rate than the parts of the face not modified by illumination in step b).
8. A method according to claim 4, in which the ultraviolet light is pulsed.
9. A method according to claim 4, in which the face is the z face of the material.
10. A method according to claim 4, in which the ferroelectric material is lithium niobate.
11. A method according to claim 4, in which the ferroelectric material contains less than 0.01 wt % of iron.
12. A structured sample of ferroelectric material obtained by a method according to claim 1.
13. A structured sample of ferroelectric material obtained by a method according to claim 4.