Study of Various Vehicle Detection Techniques –A Review

the Vehicle detection is used to identify the vehicles in any video or image file. The process of detection of vehicles includes the object detection by considering the vehicles as the primary object. By taking the images form aerial or horizontal view and from road or parking using surveillance cameras, the detection process can be initiated. In this paper, authors proposed a novel algorithm to identify the density of vehicles by using the vehicle detection and classification algorithm by implementing the hybrid deep neural network over the huge dataset of video and images that are obtained from the satellite images. For feature extraction Non-negative Matrix Factorization (NMF) and compression is used. Where, compression is used to increase the response time for detection and classification. Proposed system is able to identify the vehicles as partial object or full object in any given image. This will provide the vehicles density their movement reports and upside or downside reports of highways to the researcher. Proposed system will help them to detect and classify the vehicles with the main objective to produce the robust system by accessing the given image video frame with higher precision and accuracy. KeywordsImage analysis, artificial neural networks (ANN), vehicular classification, vehicle density evaluation.