Visual Object Recognition, Tracking And Control For Automated Video Surveillance System
Paper presents the overview of proposed system for intrusion detection, track and destroy the intruding object.
The system will be mounted at some suitable place from which complete and clear view of the area under surveillance can
be captured with camera. Thus the image will be captured; processed and desired action will be performed on it. Object
segmentation separates regions of interest in image data that identify real world objects. Segmenting and tracking regions of
arbitrary size within a scene allow the application to focus on more complex tasks like object recognition within a smaller
spatial domain of the entire spatial scene which reduces the processing time required to identify the object of interest.
Reducing the spatial domain of the image decreases the computational resources necessary for the detailed analyses required
for object recognition. The system will be provided with a high resolution camera, image processing hardware,
microcontroller, two servo motors and other supplementary hardware and mechanisms. Image Processing Hardware will
acquire images captured by camera after some predefined interval of time. Then it will process every captured image for
detecting intrusion. If intrusion is detected Image Processing Hardware will extract the features of that intruding object and
compare them with features of objects stored in database and then desired action will be initialized.