Personnel and vehicle target classification system and method

A technology of target classification and target information, applied in the field of video surveillance, can solve the problems of random segmentation, lack of header file decoding, unable to find key frames, etc., to improve decoding efficiency and accuracy, efficient human and vehicle classification, and improved processing. The effect of efficiency

Inactive Publication Date: 2015-04-15
桂林远望智能通信科技有限公司
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AI Technical Summary

Problems solved by technology

However, there is correlation between video frames. When classifying human and vehicle objects in the video, it is necessary to detect and track the objects in the video. Therefore, it cannot be randomly divided according to the byte size, otherwise the key frame cannot be found, The lack of header files and other issues lead to decoding failures, which eventually lead t

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  • Personnel and vehicle target classification system and method
  • Personnel and vehicle target classification system and method
  • Personnel and vehicle target classification system and method

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Embodiment Construction

[0054] The principles and features of the present invention are described below in conjunction with the accompanying drawings, and the examples given are only used to explain the present invention, and are not intended to limit the scope of the present invention.

[0055] Such as figure 1 As shown, a method for classifying human-vehicle objects includes the following steps:

[0056] Step S1: Physically divide the video according to the set number of bytes to obtain multiple video blocks;

[0057] Step S2: storing the divided video blocks in different sub-nodes according to the sequence of the original video;

[0058] Step S3: logically slice the video block according to the key frame in each video block to obtain multiple video slices;

[0059] Step S4, analyzing each video segment to obtain a key-value pair of the video segment;

[0060] Step S5: According to the key-value pair that parsing obtains, described video slice is carried out people-vehicle classification, obtain...

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Abstract

The invention relates to a personnel and vehicle target classification system and method. The method comprises the following steps: (1) conducting physical partition on video according to setting byte amount to obtain a plurality of video blocks; (2) saving the partitioned video blocks at different child nodes in sequence; (3) conducting logic slicing on a video block according to the key frame of each video block to obtain a plurality of video slices; (4) analyzing each video slice to obtain a key value pair of the video slice; (5) conducting personnel and vehicle classification on the video slices according to the key value pairs obtained from analysis to obtain personnel target information and vehicle target information; (6) saving the personnel target information and the vehicle target information after classification in different catalogs respectively. Compared with the prior art, the method is easy to operate, efficient in processing, and effective in unziping.

Description

technical field [0001] The invention relates to the technical field of video surveillance, in particular to a system and method for classifying people and vehicles. Background technique [0002] The amount of video surveillance data is huge, and with the strengthening of high-definition and ultra-high-definition trends, the scale of video surveillance data will increase exponentially; however, due to the lack of methods for fast and effective analysis of massive video data, the information utilization rate is extremely high. Low. [0003] The development of cloud computing technology provides conditions for efficient massive video analysis. But now the cloud platform is mainly oriented to processing massive text data, and has good results in log analysis, web page processing and other fields. There are the following problems when performing parallel human-vehicle target classification on video data on this cloud platform: [0004] First of all, video data is unstructured ...

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Application Information

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IPC IPC(8): H04N7/18G06F17/30
Inventor 蔡晓东华娜吴迪朱利伟陈文竹甘凯今王丽娟梁奔香杨超刘馨婷
Owner 桂林远望智能通信科技有限公司
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