Tracking people in a dense crowd is a challenging problem for a single camera tracker due to occlusions and extensive motion that make human segmentation difficult. In this paper ...
In order to track and recognize the movements of multiple people using multiple cameras, each person needs to be segmented and identified in the image of each camera. We propose a...
This paper presents a novel approach for automatic people counting in videos captured through a conventional closed-circuit television (CCTV) using computer vision techniques. The ...
Jaime Dalla Valle, Luiz E. Soares de Oliveira, Ale...
The goal of this work is to provide a system which can aid in monitoring crowded urban environments, which often contain tight groups of people. In this paper, we consider the pro...
Prahlad Kilambi, Evan Ribnick, Ajay J. Joshi, Osam...
This paper presents a framework to reconstruct a scene captured in multiple camera views based on a prior model of the scene geometry. The framework is applied to the capture of a...