In this paper, a cognitive approach for car tracking is proposed. A biologically motivated attention system detects regions of interest in images based on concepts of the human visual system. A top-down guided visual search module of the system enables to highlight features of a previously learned target object. Here, the attention system identifies the appearance of the vehicle and builds a top-down, target-related saliency map. This enables to focus on the most relevant features of the vehicle and helps in tracking in the subsequent frames. The system operates in real-time and can cope with the requirements of real-world tasks such as illumination variations.
J. Amudha and Dr. Soman K. P., “Saliency based visual tracking of vehicle”, International Journal of Recent Trends in Engineering, vol. 2, no. 2, p. 114, 2009.