Pedestrian structuring method and device, equipment and storage medium
A structured and pedestrian technology, applied in character and pattern recognition, instruments, closed-circuit television systems, etc., can solve the problems of pedestrian data recognition that cannot meet real-time performance and accuracy, huge resource overhead and performance, and neglect of commonality, etc., to ensure The effect of recognizing real-time performance, avoiding resource consumption and computing time, and improving recognition efficiency
Pending Publication Date: 2021-05-28
ZTE CORP
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However, the above identification methods ignore the commonality between different tasks, which may lead to huge resource overhead and performance bottlenecks, making the identification of pedestrian data unable to meet the needs of real-time and accuracy
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[0039] The application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, but not to limit the present application. In addition, it should be noted that, for the convenience of description, only some structures related to the present application are shown in the drawings but not all structures.
[0040] figure 1 It is a flow chart of a method for structuring pedestrians provided in the embodiment of the present application. This embodiment is applicable to the case of structuring pedestrian data in video data. The method can be executed by a pedestrian structuring device, which can Realized by means of software and / or hardware, the device can be configured in electronic equipment, such as a server or a terminal device, and a typical terminal device includes a mobile terminal, specifically a mobile phone, a...
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The embodiment of the invention discloses a pedestrian structuring method and device, equipment and a storage medium, and the method comprises the steps: obtaining target image data which comprises at least one video image frame; carrying out face detection and human shape detection on the target image data through a preset target detection model, determining target detection information, wherein the target detection model is a depth detection model for detecting the human shape and the face at the same time; and performing trajectory tracking and attribute analysis based on the target detection information, and determining pedestrian tracking trajectory information and pedestrian attribute information. The human shape and the human face can be detected at the same time, resource consumption and operation time consumption caused by calling multiple detection models are avoided, trajectory tracking and attribute analysis are directly carried out based on the human face and human shape detection results, bandwidth and resource consumption are further reduced, the recognition efficiency is improved while the accuracy is guaranteed, and the recognition real-time performance is guaranteed.
Description
technical field [0001] The embodiments of the present application relate to the technical field of artificial intelligence, and in particular to a pedestrian structuring method, device, device, and storage medium. Background technique [0002] In recent years, with the continuous development of intelligent identification technology, intelligent video surveillance has played an increasingly important role in many fields such as security and intelligent transportation. The camera can continuously record all information within the field of view, but the video generated by the camera is a kind of unstructured data, and the objects in it can only be viewed intuitively, and cannot be directly read and recognized by the computer. [0003] Pedestrians are the focus of the video surveillance system. Pedestrian structuring refers to extracting pedestrian-related information from video content, converting it into machine-understandable information, and further transforming it into inte...
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Login to View More IPC IPC(8): G06K9/00G06K9/62G06V10/82G06V20/52
CPCG06V40/161G06V40/10G06V40/172G06F18/24G06F18/253H04N7/18G06V10/82G06V2201/07G06V20/52G06V40/25G06T7/50G06T7/248G06V10/56G06V40/168G06V10/7715G06V20/46G06V20/41G06T2207/10016G06T2207/10024G06T2207/30201G06T2207/30241
Inventor 付海玲徐茜王屹进
Owner ZTE CORP