Detection of Stationary Foreground Objects in Region of Interest from Traffic Video Sequences
Detecting stationary objects such as an Abandoned object or a Parked vehicle is very critical and has extensive series of applications. This paper presents a new method for detecting stationary objects in video sequences of traffic taken from a static camera. It uses Running average to model the background image at every pixel position. The background obtained is then used to detect the stationary foreground object in the video. Stationary foreground object can then be classified as illegally parked vehicle or an abandoned object based on the amount of time it has been stationary. The system has been evaluated using public datasets and has been robust to high noise levels. Potential applications include Urban Traffic Surveillance and Incident detection on roads.
Keywords: Closed-circuit television (CCTV), Road users, traffic analysis, Urban traffic, Parked vehicle detection, abandoned Object detection, Surveillance, Background subtraction, object tracking, visual surveillance
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ABOUT THE AUTHORS
Smitha H.
ASSISTANT PROFESSOR
V. Palanisamy
Dr. V.Palanisamy received B.E (Electronics and Communication), M.E (Communication Engineering) and PhS(Communicaation engineering in 1972, 1974, and 1987 respectively. Since 1974, he has been the faculty of Electronics and communication Engineering and Served at various Government Engineering colleges. At present, he is the Principal at Info Institute Engineering, Coimbatore. His research interest is in the Heuristic search methods for Optimization problems in various applications. He is a Sr. member of ISTE, SIEEE, and CSI
Smitha H.
ASSISTANT PROFESSOR
V. Palanisamy
Dr. V.Palanisamy received B.E (Electronics and Communication), M.E (Communication Engineering) and PhS(Communicaation engineering in 1972, 1974, and 1987 respectively. Since 1974, he has been the faculty of Electronics and communication Engineering and Served at various Government Engineering colleges. At present, he is the Principal at Info Institute Engineering, Coimbatore. His research interest is in the Heuristic search methods for Optimization problems in various applications. He is a Sr. member of ISTE, SIEEE, and CSI
