Video surveillance system, video processing apparatus, video processing method, and video processing program
A video processing apparatus includes a video analyzer that analyzes video data captured by a surveillance camera, detects an event belonging to a specific category, and outputs a detection result, a display controller that displays, together with a video of the video data, a category setting screen for setting a category of an event included in the video, and a learning data accumulator that accumulates, as learning data together with the video data, category information set in accordance with an operation by an operator to the category setting screen. The video analyzer performs learning processing by using the learning data accumulated in the learning data accumulator.
1. A video processing system comprising:
at least one memory storing a computer program; and
at least one processor configured to execute the computer program to perform:
detecting a first region corresponding to a predetermined category by analyzing the at least one video, the first region indicating the object;
acquiring a second region designated by an operator, the second region indicating a part of the object and being a part of the first region;
generating a new category corresponding to the part of the object, the new category having a name input by the operator, and the new category being different from the predetermined category; and
accumulating, as learning data, video data of the second region, the second region corresponding to the name of the new category,
wherein the object is a vehicle.
2. The video processing system according to claim 1 , wherein
the at least one processor is further configured to execute the computer program to perform:
automatically detecting a third region corresponding to the new category after a learning process using the accumulated learning data.
3. The video processing system according to claim 1 , wherein
the at least one processor is further configured to execute the computer program to perform:
calculating a point given to the operator in accordance with a learning video count and a new category count, the learning video count indicating a number of learning videos to which the operator has selected a category and the new category count indicating a number categories generated as new categories; and
saving the calculated point in association with the learning video count, the new category count, and an operator ID corresponding to the operator.
4. The video processing system according to claim 3 , further comprising:
an incentive table linking the learning video count, the new category count, and the point to the operator ID.
5. The video processing system according to claim 3 , wherein the at least one processor is further configured to execute the computer program to perform:
weighting the point given to the operator by considering a degree of importance of the video on which the operator has worked.
6. A video processing method for analyzing at least one video, the at least one video including an object, the video processing method comprising:
detecting a first region corresponding to a predetermined category by analyzing the at least one video, the first region indicating the object;
acquiring a second region designated by an operator, the second region indicating a part of the object and being a part of the first region;
generating a new category corresponding to the part of the object, the new category having a name input by the operator, and the new category being different from the predetermined category; and
accumulating, as learning data, video data of the second region, the second region corresponding to the name of the new category,
wherein the object is a vehicle.
7. The video processing method according to claim 6 , comprising:
automatically detecting a third region corresponding to the predetermined category after a learning process using the accumulated learning data.
8. The video processing method according to claim 7 , comprising:
calculating a point given to the operator in accordance with a learning video count and a new category count, the learning video count indicating a number of learning videos to which the operator has selected a category and the new category count indicating a number categories generated as new categories; and
saving the calculated point in association with the learning video count, the new category count, and an operator ID corresponding to the operator.
9. A non-transitory recording medium storing a computer program for analyzing at least one video, the at least one video including an object, the computer program executable by a computer to perform:
detecting a first region corresponding to a predetermined category by analyzing the at least one video, the first region indicating the object;
acquiring a second region designated by an operator, the second region indicating a part of the object and being a part of the first region;
generating a new category corresponding to the part of the object, the new category having a name input by the operator, and the new category being different from the predetermined category; and
accumulating, as learning data, video data of the second region, the second region corresponding to the name of the new category,
wherein the object is a vehicle.
10. The non-transitory recording medium according to claim 9 , wherein the computer program is executable by the computer to perform:
automatically detecting a third region corresponding to the predetermined category after a learning process using the accumulated learning data.
11. The non-transitory recording medium according to claim 9 , wherein the computer program is executable by the computer to perform:
calculating a point given to the operator in accordance with a learning video count and a new category count, the learning video count indicating a number of learning videos to which the operator has selected a category and the new category count indicating a number categories generated as new categories; and
saving the calculated point in association with the learning video count, the new category count, and an operator ID corresponding to the operator.
12. The video processing system according to claim 1 , wherein the at least one processor is further configured to execute the computer program to perform:
displaying the second region within the first region on the video; and
acquiring the second region designated by the operator within the displayed first region.
13. The video processing system according to claim 12 , wherein the at least one processor is further configured to execute the computer program to perform:
accepting an operation by the operator on the video, the operation designating a position of the second region on the video.
14. The video processing method according to claim 6 , further comprising:
displaying the second region within the first region on the video; and
acquiring the second region designated by the operator within the displayed first region.
15. The video processing method according to claim 6 , further comprising:
accepting an operation by the operator on the video, the operation designating a position of the second region on the video.
16. The non-transitory recording medium according to claim 9 , wherein the computer program executable by computer to perform:
accepting an operation by the operator on the video, the operation designating a position of the second region on the video.