Image processing system, image processing method, and program storage medium
Abstract
Provided is an image processing system, an image processing method, and a program for preferably detecting a mobile object. The image processing system includes: an image input unit for receiving an input for some image frames having different times in a plurality of image frames constituting a picture, which is of a pixel on which the mobile object appears or a pixel on which the mobile object does not appear, for selected arbitrary one or more pixels in an image frame at the time of processing; and a mobile object detection model constructing unit for learning a parameter for detecting the mobile object based on the input.
Claims
exact text as granted — not AI-modified1 . An image processing system comprising:
at least one memory storing instructions; and at least one processor configured to process the instructions to control the image processing system to:
receive an input to place, on each of a plurality of captured images, a first object indicating at least one pixel of a vehicle region and a second object indicating at least one pixel of a region which is different from the vehicle region; and
generate, based on the plurality of the first objects and the plurality of the second objects placed on the plurality of captured images, a learning data indicating the vehicle region, the learning data being capable to be learned by a detector that detects at least one vehicle.
2 . The image processing system according to claim 1 , wherein
the at least one processor is configured to process the instructions to control the image processing system to:
accept a first input operation to specify the vehicle region by placing the first icon in the vehicle region.
3 . The image processing system according to claim 2 , wherein
the second icon is different to the first icon.
4 . The image processing system according to claim 3 , wherein
the at least one processor is configured to process the instructions to control the image processing system to:
accept a second input operation to specify whether one or more pixels selected from any image frame is located on a background region or the vehicle region.
5 . The image processing system according to claim 1 , wherein
the at least one processor is configured to process the instructions to control the image processing system to:
a first input operation to specify the vehicle region by placing a plurality of the first icon in the vehicle region.
6 . The image processing system according to claim 1 , wherein
the at least one processor is configured to process the instructions to control the image processing system to:
calculating differences between a first background model generated based on an image frame at the time of processing, a second background model in which an influence of an image frame at the time of processing is smaller than that of the first background model, and a third background model in which an influence of an image frame at the time of processing is smaller than that of the second background model, and
learning a parameter for detecting the at least one vehicle using the first background model, the second background model, and the third background model, based on the input.
7 . An image processing method performed by at least one computer, the method comprising: receiving an input to place, on each of a plurality of captured images, a first object indicating at least one pixel of a vehicle region and a second object indicating at least one pixel of a region which is different from the vehicle region; and
generating, based on the plurality of the first objects and the plurality of the second objects placed on the plurality of captured images, a learning data indicating the vehicle region, the learning data being capable to be learned by a detector that detects at least one vehicle.
8 . A non-transitory computer readable recording medium storing program instructions for causing a computer to perform:
receiving an input to place, on each of a plurality of captured images, a first object indicating at least one pixel of a vehicle region and a second object indicating at least one pixel of a region which is different from the vehicle region; and generating, based on the plurality of the first objects and the plurality of the second objects placed on the plurality of captured images, a learning data indicating the vehicle region, the learning data being capable to be learned by a detector that detects at least one vehicle.Join the waitlist — get patent alerts
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