CHAPTER 20
Study of Score Coefficient Functions for DBSCAN-based Photometric Invariant Approach in Vision Sensor-Based Shoe Detection for Human Tracking
P. Paral, A. Chatterjee, and Anjan Rakshit
Department of Electrical Engineering, Jadavpur University, Kolkata, India.
ABSTRACT: The problems of accurately tracking people in human-robot co-existing environments are considered as one of the significant problems in present times. A state-of-the-art randomized template matching algorithm, called photometric- invariant CFAsT-Match (PICFAsT-Match), can be implemented in real robot to solve an active problem within this genre, where vision sensing is used for detecting human shoes in challenging real-life environments, during pursuit. The performance ...
