False-Alarm Analysis of Video-based Automatic Incident Detection System-- Application of Citilog System
Date Issued
2009
Date
2009
Author(s)
Tseng, Yi-Ting
Abstract
Department of Traffic Management in many countries set up Closed Circuit Television (CCTV) at highways and tunnels to control the situation of traffic recent years. Expect for the usage of traffic management, the real-time information also can provide for the users. However, the images of CCTV are seldom used efficiently. The Video-based Automatic Incident Detection Systems integrate CCTV and advanced image processing techniques to detect vehicle and detect incidents. By using Video- based Automatic Incident Detection Systems, operators in Traffic Control Center could be more efficient.hen an accident happens, the Video-based Automatic Incident Detection System would alarm in a short time, and warn the operators to pay attention to the images of CCTV to know where the accident happens, the situation of the accident, and the nearby traffic. Furthermore, operators could quickly take some actions to decrease the accident duration time, lower the level of damage, and avoid the second-hand accidents. This study applies the Video-based Automatic Incident Detection System at urban road in Taipei City, and classifies the incident types and the false-alarm incidents. Then, this study takes some scenario into tests to improve false-alarm of Video-based Automatic Incident Detection Systems.s the results of incident detection at urban road, this study classifies false-alarm incidents into three types: error detections, environmental factors, and factors of vehicles and pedestrians. The two important functions of Video-based Automatic Incident Detection Systems are detection areas and time of stop cars. According to the results of incident detection at urban road and the results of scenario tests, this study brings up some principles of using Video-based Automatic Incident Detection Systems, which can improve the false-alarms, shorten the detection time, and detect incidents efficiently.
Subjects
Video-based Automatic Incident Detection System
False Alarm
Real-time Detection
Type
thesis
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