This paper presents a hierarchical clustering algorithm that uses multiple heterogeneous representations to group trajectories for video event detection, enabling it to effectively identify both dominant and rare events and achieve better performance than state-of-the-art methods.
Oct 7, 2018
This paper presents a novel annotation placement method for surveillance videos that treats the problem as an optimization of spatiotemporal coherence between annotations and foreground objects, effectively solving it with Markov random fields to prevent occlusions and achieve superior results compared to state-of-the-art approaches.
Mar 1, 2018