Software, hardware and co-simulation for detecting and tracking moving objects

The intelligent video opens up new possibilities in machine vision solutions. In fact it allows analyzing camera video in real-time to detect events of interest. It permits also to isolate and simultaneously track multiple objects and thus in different fields such as robotics, medicine, and in particular the domain of video surveillance and object recognition. However, for a video surveillance system, the tasks of analysis of the movement of the video consist of the detection of moving objects and their tracking. The aim of this work is a hardware / software implementation for detecting and tracking moving objects in a video sequence based on Kalman filter and background subtraction in the form of block diagram in order to minimize the execution time.