Spatiotemporal Coherence-Based Annotation Placement for Surveillance Videos
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