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Research And Application Of Embedded Video Surveillance System Based On DSP

Posted on:2009-06-30Degree:MasterType:Thesis
Country:ChinaCandidate:X B DengFull Text:PDF
GTID:2178360245979833Subject:Control theory and control engineering
Abstract/Summary:PDF Full Text Request
Video surveillance system (VSS) is one of new arising high-tech application fields. It spans many subjects including computer science, machine vision, image engineering, pattern analysis, artificial intelligence, etc. VSS can automatically analyse sequence image by the methods of computer vision and video analysis. When abnormity happens on the location which is monitored, the system automaticly alarms. Criminality can be avoided by using intelligent monitoring system with less manpower, money and material resources.However, there are still many problems in the fields of both theory research or in applications. Large numbers of researchers devoted themselves in the area and have already achieved many progresses. The dissertation studied the some key technologies of VSS based on the current conclusion. The main content of this dissertation can be summarized as followings:(1) Threshold adopted is a key to the moving objects detection algorithm based on difference of frame. The algorithm which connects background subtraction and two consecutive frames subtraction to detection often goes wrong warning message, just uses an operation on experiential threshold. So the algorithm based check of self-adapt threshold is proposed, and overcomes shortcoming of traditional algorithm.(2) By aggregating foreground pixels, the target foreground objects can be segregated completely, based on which we can gather the characteristics of each foreground object respectively. Based on spatial continuity of target objects, with mathematical morphology and binary connected components analysis, we can reduce noise and smooth out gaps. By analyzing characteristics of capturing approximate background image with Single Gaussian Modeling, without losing the objective of reducing noise and keeping target objects complete, the threshold of segregating foreground pixels is determined adaptively, which leads to definitive binary image of target object and background.(3) This dissertation proposes a kind of systematic design scheme of embedded network camera based on DSP technology.This scheme adopts the high-performance multimedia digital signal processor DM642 of TI Company to improve the technology of the traditional camera on digitization, net worked, etc.It is much easier to devise the hardware and update the software than the traditional camera. It is also much easier to install and has a high cost-performance.
Keywords/Search Tags:object detection, object tracking, object classification, video surveillance
PDF Full Text Request
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