COORDINATION OF OBJECT LOCATION DATA WITH VIDEO DATA
An object tracking system automatically generates metadata about locations of objects within a scene. The objects may then be associated with one or more objects within the scene.
1 . An object tracking system comprising:
a sensor system detecting information about a scene;
an analysis unit analyzing the information to identify objects and location thereof within the scene, wherein the analysis unit determines an association of one object with at least one other object;
a processor generating metadata identifying each object location; and
tracking unit tracking object movement of the associated objects based on the generated metadata identifying each object location.
2 . The object tracking system according to claim 1 , wherein the information contains video data and the metadata for each object is inserted into the video data.
3 . The object tracking system according to claim 1 , wherein the sensor system includes sensors sensing visual and non-visual data.
4 . The object tracking system according to claim 1 , wherein the sensor system includes at least one sensor detecting at least radio frequency signals.
5 . The object tracking system according to claim 1 , wherein the sensor system includes at least one sensor detecting at least temperatures.
6 . The object tracking system according to claim 1 , wherein the tracking unit tracks the movement of objects over time based upon the metadata identifying each object location.
7 . The object tracking system according to claim 6 , farther comprising a mapping unit which draws a line on a map to map each identified objects' movement over time.
8 . The object tracking system according to claim 1 , wherein the analysis unit further analyzes metadata of objects to determine if two or more objects arc associated with one another by being within a predetermined distance of one another over a predetermined period of time.
9 . The object tacking system according to claim 1 , wherein the objects that are associated with one another include people and personal and non-personal items.
10 . The object tracking system according to claim 1 , wherein the analysis unit determines if detected objects are present in both of two consecutive video frames.
11 . The object tracking system according to claim 10 , wherein if objects are not previously tracked, video frames in which new objects appear are highlighted.
12 . The object tracking system according to claim 1 , further comprising an inserter inserting metadata into information about the scene, the metadata including the determined object association.
13 . The object tracking system according to claim 1 , wherein the analysis unit determines if objects are associated with one another by correlations in the movements of the objects based upon identifying each object location.
14 . The object tracking system according to claim 10 , wherein if an object which is being tracked is no longer detected, video frames are highlighted when the object is no longer detected.
15 . A method of tracking objects comprising the steps of:
detecting information about a scene;
analyzing the information to identify objects and location thereof within a scene, including determining an association of one object with at least one other object;
generating metadata identifying each object location; and
tracking movement of the associated objects based on the generated metadata identifying each object location.
16 . The method according to claim 15 , wherein the information detected is video data and the metadata for each object is inserted into the video data.
17 . The method according to claim 15 , wherein the detection of information is by sensors sensing visual and non-visual data.
18 . The method according to claim 17 , wherein the sensors include sensors detecting at least radio frequency signals.
19 . The method according to claim 15 , wherein the metadata identifying each object location is for tracking the movement of objects over time.
20 . The method according to claim 19 , further comprising the steps of drawing a line on a map to map each identified objects' movement over time.
21 . The method according to claim 15 , further comprising the step of analyzing metadata to determine if two or more objects are associated with one another by being within a predetermined distance of one another over a predetermined period of time.
22 . The method according to claim 15 , wherein the objects that are associated with one another include people and personal and non-personal items.
23 . The method according to claim 15 , further comprising the step of determining if detected objects are present in both of two consecutives video frames.
24 . The method according to claim 23 , wherein if objects are not previously tracked, video frames in which new objects appear are highlighted.
25 . The method according to claim 15 , further comprising the step of predicting relationships between objects based on analyzing the metadata and statistically identifying relationships therebetween.
26 . The method according to claim 15 , further comprising the step of categorizing a plurality of associations of objects and associating a particular object with at least one other particular object based on statistical analysis of the categorization.
27 . The method according to claim 15 , further comprising the step or inserting metadata into the information about the scene, the metadata including the determined object association.
28 . The method according to claim 17 , wherein the detection of information is by sensors detecting at least temperatures.
29 . The method according to claim 15 , further comprising the step of determining if objects are associated with one another by correlations in movement of the objects based upon identifying each object location.
30 . The method according to claim 23 , wherein if an object which is being tracked is no longer detected, video frames are highlighted when the object is no longer detected.