Location and classification of moving objects using critical area analysis and template matching
Nauman Iftikhar, Saba Iqbal, Naveed Sarfraz Khattak · 2007
Abstract:- The aspiration of current research work is the automation of orientation and object recognition techniques by applying digital image processing and pattern analysis. The research work comprises of III phases. Phase I explains the capturing of image of interest from video frames. Phase II addresses the technique of object (vehicle) location and finally the phase III discusses the technique of Classification of object. Capturing the frame of interest (i-e query image) from video frames is achieved through Critical Area Analysis while Location is achieved through contouring. For Classification we have to recognize the extracted object (Recognition is achieved through template matching) then on the basis of recognition results we classify the object (vehicle).