Method and system for identifying dynamic objects

An object recognition and dynamic technology, which is applied in closed-circuit television systems, concurrent command execution, machine execution devices, etc., can solve the problems of large manpower consumption and long processing time, and achieve the effect of reducing recognition time and improving effective utilization

Inactive Publication Date: 2013-01-16
杭州天视智能系统有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to provide a dynamic object recognition method, which aims to solve the problems of large manpower consumption and / or long processing time in the existing dynamic object recognition method

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  • Method and system for identifying dynamic objects
  • Method and system for identifying dynamic objects
  • Method and system for identifying dynamic objects

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Embodiment Construction

[0027] In order to make the object, technical solution and advantages of the present invention clearer, the present invention 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 invention, not to limit the present invention.

[0028] figure 1 It shows a schematic flow chart of the dynamic object recognition method provided by the first embodiment of the present invention, including step S101, step S102 and step S103, which are described in detail as follows:

[0029] Step S101, distributing n video files to k distributed computing nodes so that the k computing nodes can perform object recognition on the n video files, where k and n are natural numbers, and k is not greater than The n.

[0030] Unlike existing technologies, video files are not processed by one device (a server, etc.), but are distributed to several dist...

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Abstract

The invention discloses a method and a system for identifying dynamic objects. The method includes distributing n video files to k distributed type deployment computing nodes so as to subject the n video files to object identification by the k computing nodes, receiving the n video files subjected to the object identification from the k computing nodes, and processing results of the n video files subjected to the object identification, wherein the k and the n are natural numbers, and the k is not larger than the n. By the method and the system for identifying dynamic objects, one one hand, for massive video data to be analyzed, enough computing nodes for processing can be deployed, and processing capacity is much higher than that of a single server, and on the other hand, the distributed type computing nodes can quickly identify the dynamic objects in the video files owning to a parallel processing manner, identifying time is greatly shortened, and effective utilization rate of video resources is increased.

Description

technical field [0001] The invention belongs to the field of video monitoring, in particular to a dynamic object recognition method and system. Background technique [0002] Video surveillance is a comprehensive system with strong prevention capabilities, and it is also an important part of the security system. Video surveillance is widely used in many occasions because of its intuition, accuracy, timeliness and rich information content. In recent years, with the rapid development of computer, network, image processing and transmission technology, video surveillance technology has also made great progress. Generally, video surveillance saves local video surveillance video data within a certain period of time through local video recording, so as to facilitate inquiry and evidence collection, and provide basis for post-event investigation. For example, the monitoring personnel of remote video surveillance can remotely retrieve the stored surveillance images arbitrarily, and ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N7/18G06F9/38
Inventor 郭家栋
Owner 杭州天视智能系统有限公司
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