Vehicle Tracking using Canny Edge Detector

Malla Reddy, R. Chitti Babu, K. Deepika Rani

Abstract


Vehicle tracking using the canny edge detector algorithm is used for detecting the edges. A Dynamic Bayesian Network (DBN) is constructed for classification purpose. A well trained DBN can estimate the probability of a pixel belonging to a vehicle or not. It also relates among neighboring pixels in a region. There is a fast growth in computer technology and increasing needs in security and studies of target vehicle detection in aerial surveillance using image processing techniques and based IPs and Location also it will work effectively in vehicle tracking using HMA VPN.


Keywords


Vehicle Detection, Aerial Surveillance, Dynamic Bayesian Networks (DBNs), Canny Edge Detector, Vehicle Tracking, Vehicle Tracking based on networks using HMA VPN

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Copyright (c) 2014 Malla Reddy, R. Chitti Babu, K. Deepika Rani

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