Image processing is a classical domain of research and development. A number of different applications in medical sciences, education and engineering the techniques of image processing are frequently used. The image processing techniques are used for discovering the objects, contents or images and lightening effects in digital images and video frames. In this presented work an application of image processing technique for recognizing the image objects is proposed for design and implement. More specifically it is tried to track and identify the moving objects. Therefore the video based object recognition technique is proposed to work. In order to design such technique video processing techniques and morphological image processing technique is used. The morphological image processing is a technique of image processing on which the pixel level structures are analysed and tracked. In addition of that for identifying the objects a threshold based technique is implemented. That technique computes the area of covered object and based on the count of pixel coverage and threshold the moving object in camera frame is detected and identified. The implementation of the proposed object detection technique is performed on MATLAB technology. Additionally the experiments on this technique are performed for finding efficiency and accuracy of the proposed system. The experiments based results demonstrate the proposed technique efficient and accurate for object tracking.

Vehicle Detection, Image Processing, Digital Image, Video Frame, Morphological

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