A novel framework for anomaly detection in crowded scenes is presented. Three properties are identified as important for the design of a localized video representation suitable f...
We propose a novel unsupervised learning framework for activity perception. To understand activities in complicated scenes from visual data, we propose a hierarchical Bayesian mod...
In this paper, we present an approach that extends the Particle Swarm Optimization (PSO) algorithm to handle multiobjective optimization problems by incorporating the mechanism of...
In current city visualisations crowds are being included to increase realism in the scene. With the self-steering nature of crowds it is traditionally difficult to control the nu...
Services like Amazon’s Mechanical Turk have opened the door for exploration of processes that outsource computation to humans. These human computation processes hold tremendous ...