Indoor pedestrian detection method, device and equipment and computer storage medium
A technology for pedestrian detection and pedestrians, applied in computer components, calculations, neural learning methods, etc., can solve the problems of high labor cost, long time consumption, and low efficiency, and achieve the goal of reducing computing costs, improving performance, and accurate detection results Effect
Pending Publication Date: 2021-06-01
BEIJING SENSETIME TECH DEV CO LTD
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Problems solved by technology
The current technical solution mainly obtains training model samples through manual selection, which requires a lot of labor costs, takes a long time, and is inefficient
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[0034] In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the specific technical solutions of the invention will be further described in detail below in conjunction with the drawings in the embodiments of the present application. The following examples are used to illustrate the present application, but not to limit the scope of the present application.
[0035] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application.
[0036] It should be understood that some embodiments described here are only used to explain the technical solutions of the present application, and are not intended to limit the technical scope of the present application.
[0037] This embodiment proposes a method for indoor pedestrian detection, which is applied to computer equipment. The functions imple...
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The invention discloses an indoor pedestrian detection method. The method comprises the following steps: acquiring a to-be-detected indoor image; inputting the indoor image into a trained indoor pedestrian detection model for pedestrian recognition to obtain a recognition result, wherein the indoor pedestrian detection model is trained by using a second data set, the second data set is obtained by taking at least one labeled target image as a training sample and merging the training sample into the first data set, the first data set is a data set in which at least part of sample images have annotation information, the target image is determined according to a detection result output by a target detection neural network by inputting a to-be-detected image intercepted from a monitoring video stream into the target detection neural network, and the target detection neural network is trained by adopting the first data set. The invention further discloses an indoor pedestrian detection device and equipment and a computer storage medium.
Description
technical field [0001] The present application relates to but not limited to the field of intelligent monitoring, and in particular relates to a method, device, equipment and computer storage medium for indoor pedestrian detection. Background technique [0002] Large-scale city-level indoor pedestrian detection plays a very important role in smart cities and security monitoring. Compared with traditional outdoor pedestrian detection tasks, indoor pedestrian detection tasks are more difficult. The current technical solution mainly obtains training model samples through manual selection, which requires a lot of labor costs, takes a long time, and has low efficiency. Contents of the invention [0003] The present application provides a method, device, equipment and computer storage medium for indoor pedestrian detection. [0004] In the first aspect, a method for indoor pedestrian detection is provided, the method comprising: acquiring an indoor image to be detected; inputti...
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Login to View More IPC IPC(8): G06K9/00G06K9/32G06N3/04G06N3/08
CPCG06N3/08G06V40/103G06V20/53G06V10/25G06V2201/07G06N3/045
Inventor 窦浩轩李搏甘伟豪
Owner BEIJING SENSETIME TECH DEV CO LTD