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 system comprising:
at least one memory storing a computer program; and
at least one processor configured to execute the computer program to control the system to perform:
detecting a first region corresponding to a predetermined category by analyzing at least one image among a plurality of images, the first region including an object, the object being included in the at least one image;
generating a new category having a name input by an operator, the new category being different from the predetermined category;
acquiring a second region designated by the operator, the second region at least partially overlapping the first region; and
storing data indicating the second region, the second region being associated with the name of the new category.
2 . The system according to claim 1 , wherein the data include position information of the second region on the at least one image among the plurality of images.
3 . The system according to claim 1 , wherein the second region includes a part of the object.
4 . The system according to claim 1 , wherein the new category is generated in response to an operation of the operator.
5 . The system according to claim 1 , wherein the first and second regions are on a same image among the plurality of images.
6 . The system according to claim 1 , wherein each of a plurality of categories corresponds to a respective one of a plurality of regions and differs from a category that corresponds to another region of the plurality of regions, the plurality of regions including the first region and the second region on a same image among the plurality of images, and
wherein the plurality of categories includes the predetermined category and the new category.
7 . The system according to claim 1 , wherein the predetermined and new categories are classifications of the object and another object respectively.
8 . The system according to claim 1 , wherein a plurality of categories respectively correspond to classifications of objects, the plurality of categories includes the predetermined category and the new category.
9 . The system according to claim 1 , wherein the object is a moving object.
10 . The system according to claim 1 , wherein the data is accumulated as learning data.
11 . A processing method comprising:
detecting a first region corresponding to a predetermined category by analyzing at least one image among a plurality of images, the first region including an object, the object being included in the at least one image;
generating a new category having a name input by an operator, the new category being different from the predetermined category;
acquiring a second region designated by the operator, the second region at least partially overlapping the first region; and
storing data indicating the second region, the second region being associated with the name of the new category.
12 . The processing method according to claim 11 , wherein the data include position information of the second region on the at least one image among the plurality of images.
13 . The processing method according to claim 11 , wherein the second region includes a part of the object.
14 . The processing method according to claim 11 , wherein the first and second regions are on a same image among the plurality of images.
15 . The processing method according to claim 11 , wherein each of a plurality of categories corresponds to a respective one of a plurality of regions and differs from a category that corresponds to another region of the plurality of regions, the plurality of regions including the first region and the second region on a same image among the plurality of images, and
wherein the plurality of categories includes the predetermined category and the new category.
16 . A non-transitory computer readable medium storing a processing program for causing a computer to execute a method, comprising:
detecting a first region corresponding to a predetermined category by analyzing at least one image among a plurality of images, the first region including an object, the object being included in the at least one image;
generating a new category having a name input by an operator, the new category being different from the predetermined category;
acquiring a second region designated by the operator, the second region at least partially overlapping the first region; and
storing data indicating the second region, the second region being associated with the new category.
17 . The non-transitory computer readable medium according to claim 16 , wherein the data include position information of the second region on the at least one image among the plurality of images.
18 . The non-transitory computer readable medium according to claim 16 , wherein the second region includes a part of the object.
19 . The non-transitory computer readable medium according to claim 16 , wherein the first and second regions are on a same image among the plurality of images.
20 . The non-transitory computer readable medium according to claim 16 , wherein each of a plurality of categories corresponds to a respective one of a plurality of regions and differs from a category that corresponds to another region of the plurality of regions, the plurality of regions including the first region and the second region on a same image among the plurality of images, and
wherein the plurality of categories includes the predetermined category and the new category.
21 . The system according to claim 1 , wherein each of the plurality of images is included in at least one video.
22 . The processing method according to claim 11 , wherein each of the plurality of images is included in at least one video.
23 . The non-transitory computer readable medium according to claim 16 , wherein each of the plurality of images is included in at least one video.