1. A motion detection device, comprising:
a first image recording unit, configured to record a first video;
a first storage unit, configured to store the first video;
a motion detection unit, configured to detect a moving object in the first video;
a depth calculation unit, configured to calculate a depth of the moving object; and
a determination unit, configured to determine whether or not the moving object is a concerned event according to the depth of the moving object.
2. The motion detection device according to claim 1, further comprising:
a second image recording unit, configured to record a second video at the same time as the first image recording unit records the first video, the first video and the second video being captured from different angles; and
a second storage unit, configured to store the second video;
wherein the depth calculation unit calculates the depth of the moving object according to the first video and the second video.
3. The motion detection device according to claim 2, wherein a second image resolution of the second video is lower than a first image resolution of the first video.
4. The motion detection device according to claim 1, further comprising:
a second image recording unit, configured to record a second video at the same time as the first image recording unit records the first video;
a second storage unit, configured to store the second video;
a third image recording unit, configured to record a third video at the same time as the second image recording unit records the second video, the second video and the third video being captured from different angles; and
a third storage unit, configured to store the third video;
wherein the depth calculation unit calculates the depth of the moving object according to the second video and the third video.
5. The motion detection device according to claim 4, wherein a second image resolution of the second video is lower than a first image resolution of the first video, a third image resolution of the third video is lower than the first image resolution of the first video, and the second image resolution of the second video is equal to the third image resolution of the third video.
6. The motion detection device according to claim 1, wherein when the depth of the moving object is within a predetermined distance range, the determination unit determines the moving object as the concerning event.
7. A motion detection method, comprising:
recording a first video;
detecting a moving object in the first video;
calculating a depth of the moving object; and
determining whether or not the moving object is a concerned event according to the depth of the moving object.
8. The motion detection method according to claim 7, further comprising:
recording a second video at the same time as the first video is recorded, the first video and the second video being captured from different angles;
wherein the depth of the moving object is calculated according to the first video and the second video.
9. The motion detection method according to claim 8, wherein a second image resolution of the second video is lower than a first image resolution of the first video.
10. The motion detection method according to claim 7, further comprising:
recording a second video at the same time as the first video is recorded; and
recording a third video at the same time as the second video is recorded, the second video and the third video being captured from different angles;
wherein the depth of the moving object is calculated according to the second video and the third video.
11. The motion detection method according to claim 10, wherein a second image resolution of the second video is lower than a first image resolution of the first video, a third image resolution of the third video is lower than the first image resolution of the first video, and the second image resolution of the second video is equal to the third image resolution of the third video.
12. The motion detection method according to claim 7, wherein when the depth of the moving object is within a predetermined distance range, the moving object is determined as the concerning event.
The claims below are in addition to those above.
All refrences to claim(s) which appear below refer to the numbering after this setence.
1. A method for performing a path based quality check for a specified bit rate in a wavelength division multiplexing optical network comprising:
selecting from a database, which stores a representation of available paths from an access node of the optical network to other access nodes of the optical network, one of the available paths as a currently selected path, wherein said database also stores a representation of wavelengths available on each of the available paths, and wherein an available path is a series of two or more nodes each connected by an optical link on which a set of wavelengths is available for establishing a lightpath;
determining cumulative noise for the currently selected path;
determining a maximum allowable noise for the specified bit rate;
determining cumulative chromatic dispersion of the currently selected path;
determining a maximum allowable chromatic dispersion for the specified bit rate;
determining whether the currently selected path passes the path based quality check based on whether the cumulative noise for the currently selected path is less than the maximum allowable noise at the specific bit rate and whether the chromatic dispersion is less than the maximum allowable chromatic dispersion at the specified bit rate.
2. The method of claim 1, wherein the database also stores a representation of cumulative noise and cumulative chromatic dispersion for each of the available paths, and wherein said determining the cumulative noise and said determining the cumulative chromatic dispersion includes accessing the database.
3. The method of claim 1, wherein the determining the maximum allowable noise includes,
accessing the maximum allowable noise based from a table, which correlates a plurality of bit error rates (BERs) and a plurality of bit rates to maximum allowable noise levels, based on a specified bit error rate (BER) and the specified bit rate.
4. The method of claim 2, wherein the determining the maximum allowable noise includes,
accessing the maximum allowable chromatic dispersion from a table, which correlates a chromatic dispersion decibel penalty and a plurality of bit rates to maximum allowable chromatic dispersion levels, based on the specified bit rate.
5. The method of claim 1, further comprising:
determining a number of hops of the currently selected path;
determining a maximum number of hops allowed at the specified bit rate;
wherein the determining whether the currently selected path passes the path based quality check is also based on whether the number of hops is less than the maximum number of hops.