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Object motion tracking system and its monitoring method in complex scenes based on embedded and optical transmission

A complex scene, motion tracking technology, applied in closed-circuit television systems, image data processing, instruments, etc., can solve problems such as increased hardware costs, and achieve the effect of low false alarm rate, timely alarm, and low cost

Inactive Publication Date: 2011-12-21
QILU UNIV OF TECH
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Problems solved by technology

This system overcomes the problem that in the field of large-scale and multi-camera video surveillance, when real-time motion tracking is to be realized, multiple video trackers and optical transceivers need to be used according to the traditional technical solution, which greatly increases the hardware cost of the system

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  • Object motion tracking system and its monitoring method in complex scenes based on embedded and optical transmission
  • Object motion tracking system and its monitoring method in complex scenes based on embedded and optical transmission
  • Object motion tracking system and its monitoring method in complex scenes based on embedded and optical transmission

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[0034] Resampling is another effective way to remove degradation. The purpose of resampling is to discard particles with small weights and copy particles with large weights. Although resampling can reduce degradation, it also brings another negative effect: particle exhaustion, also known as sampling exhaustion. That is, particles with larger weights are selected multiple times, and the sampling results contain many repeated particles, thereby reducing the diversity of particles. After adding resampling to the SIS algorithm, it becomes the SIRF (Sampling Importance Resampling Filter) algorithm. Figure 4 is the flow chart of the algorithm. Its implementation method is as follows:

[0035] (1) Initialization: from the prior probability density function p(x o ) to generate the initial particle set N is the number of particles, and the initial weight of all particles is 1 / N;

[0036] (2) Particle sampling: According to the state transition equation, the particles at k time...

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Abstract

The present invention relates to a complex scene target motion tracking system based on embedded and optical transmission and its monitoring method. The video signal collected by the front-end camera is sent to the embedded intelligent video analysis system, and the signal acquisition unit of the embedded intelligent video analysis system is The analog video signal is subjected to analog-to-digital conversion, and then the digital video signal is sent to the moving target detection and tracking unit for detection and tracking of the moving target. The optical transmission control unit sends the result data to the terminal control system through the optical transmission system, and the terminal control system According to the pre-set rules, it is judged whether there is an alarm, and at the same time, the video signal is sent to the local video monitor to display the monitoring video in real time. Compared with the traditional video surveillance system, the present invention has low cost, high reliability, low false alarm rate, timely alarm, and realizes unattended all-weather intelligent monitoring.

Description

technical field [0001] The invention relates to an intelligent analysis system, in particular to an embedded and optical transmission-based complex scene target motion tracking system and a monitoring method thereof, belonging to the technical field of machine vision and intelligent monitoring. Background technique [0002] Video surveillance usually refers to real-time observation of some objects (such as people, vehicles, etc.) or events in a specific environment. Traditional visual surveillance is that the camera keeps shooting at a scene, the video signal is transmitted to the main control center for storage, and if necessary, the video image is analyzed manually, which not only consumes a lot of manpower, but also faces countless problems. It is very difficult to extract some valuable information from the video recording, and it is also a big problem to save it for a long time. With the gradual prevalence of high-definition network monitoring, the disadvantages of high...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N7/18G06T7/20
Inventor 李庆华王晓芳吴昌磊王磊甄易
Owner QILU UNIV OF TECH
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