Tracking and Size Estimation of Objects in Motion

Abstract

Detection and tracking of moving objects in video is emerging in computer vision and robotics. Classification of objects in addition to the detection and tracking can lead to better understanding of the scene and helps in taking certain decisions in various applications. Classifying the objects based on the features like color, shape, size, speed, direction of objects in motion has numerous applications. In this paper, we consider the size of an object in motion. We present a model to estimate the size of an object in motion using optical flow technique, and present some applications in watermarking, steganography and in robotics where the size of an object in motion is an important parameter to be considered.