Anomaly detection and localization in crowded scenes using connected component analysis
Sign Up to like & getrecommendations! Published in 2017 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-017-5061-7
Abstract: This paper presents a new method for detecting abnormal events in the surveillance systems. This method does not employ object detection or tracking and thus it does not fail in the crowded scenes. In the… read more here.
Keywords: detection; anomaly detection; scenes using; crowded scenes ... See more keywords
Deep-Cascade: Cascading 3D Deep Neural Networks for Fast Anomaly Detection and Localization in Crowded Scenes
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2017.2670780
Abstract: This paper proposes a fast and reliable method for anomaly detection and localization in video data showing crowded scenes. Time-efficient anomaly localization is an ongoing challenge and subject of this paper. We propose a cubic-patch-based… read more here.
Keywords: anomaly detection; deep cascade; localization; crowded scenes ... See more keywords
Improving Multiple Pedestrian Tracking in Crowded Scenes with Hierarchical Association
Sign Up to like & getrecommendations! Published in 2023 at "Entropy"
DOI: 10.3390/e25020380
Abstract: Recently, advances in detection and re-identification techniques have significantly boosted tracking-by-detection-based multi-pedestrian tracking (MPT) methods and made MPT a great success in most easy scenes. Several very recent works point out that the two-step scheme… read more here.
Keywords: pedestrian tracking; improving multiple; hierarchical association; association ... See more keywords