Design flow for complex scene visual object tracking and avoidance system

This paper presents the design flow of efficient and real-time object detection and tracking system in a complex environment. The design relies on color extraction, target recognition using neural networks and feature extraction. Furthermore, the system is designed to identify different objects and also to predict their movements. There are many domains where the detection and tracking of objects can be required. An example is a defense system for perimeter protection where the camera is more cost effective in the case of short range detection and recognition. Another application of the proposed system is the detection of the obstacles in front of a visually impaired person using cameras mounted on the frame of their eyeglasses.