Identifying multiple objects from their appearance in inaccurate detections ?
Localize and learn appearances of targets from object detections in video. Associate targets to features instead of detections to deal with partial occlusions. Post-processing provides pixel-level segmentation of individual objects. Scenarios can have inaccurate detections, occlusions, erratic motion, frame skips. Outperforms state-of-the-art batch and online multi-view trackers on fight scenes.
segmentation object recognition generative model unsupervised learning latent dirichlet allocation video surveillance