Object detection and tracking for low-cost video surveillance system
نویسندگان
چکیده
منابع مشابه
Moving Object Detection, Tracking and Classification for Smart Video Surveillance
MOVING OBJECT DETECTION, TRACKING AND CLASSIFICATION FOR SMART VIDEO SURVEILLANCE Yiğithan Dedeoğlu M.S. in Computer Engineering Supervisor: Assist. Prof. Dr. Uğur Güdükbay August, 2004 Video surveillance has long been in use to monitor security sensitive areas such as banks, department stores, highways, crowded public places and borders. The advance in computing power, availability of large-ca...
متن کاملStudy of Moving Object Detection and Tracking for Video Surveillance
In this paper, we are discussing a video surveillance scenario with real-time moving object detection and tracking. The detection of moving object is important in many tasks, such as video surveillance and moving object tracking. The design of a video surveillance system is directed on automatic identification of events of interest, especially on tracking and classification of moving objects. N...
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Target detection and tracking is an important problem in the automatic surveillance system. This paper proposes a Combined Gaussian Hidden Markov Model based Kalman Filter (CGHMM-KF) scheme for tracking people in multiple camera sensor network for monitoring and tracking of target (person/vehicle) in secured area. To detect the target under different illumination conditions, HMM with Mixture of...
متن کاملObject Classification and Tracking in Video Surveillance
The design of a video surveillance system is directed on automatic identification of events of interest, especially on tracking and classification of moving vehicles or pedestrians. In case of any abnormal activities, an alert should be issued. Normally a video surveillance system combines three phases of data processing: moving object extraction, moving object recognition and tracking, and dec...
متن کاملKalman Filtering Based Object Tracking in Surveillance Video System
In the field of motion estimation for surveillance video, various techniques have been applied. One of the common approaches is Kalman filtering technique and it is interesting to explore the extension of this technique for the prediction and estimation of motion via the image sequences. In this paper, a moving object tracking in surveillance video using Kalman filter is proposed. The typical K...
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ژورنال
عنوان ژورنال: ipc
سال: 2013
ISSN: 1425-140X
DOI: 10.2478/v10248-012-0083-2