Saliency based visual tracking of vehicles
J. Amudha, KP Soman · 2009
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.