TrajVAD shows that bounding-box trajectories modeled via normalizing flows can serve as a primary cue for video anomaly detection, with the trajectory-only variant achieving 87.7% AP on ShanghaiTech and best results on MSAD.
Cluster Computing25(4), 2715–2737 (2022)
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Bounding-Box Trajectories Matter for Video Anomaly Detection
TrajVAD shows that bounding-box trajectories modeled via normalizing flows can serve as a primary cue for video anomaly detection, with the trajectory-only variant achieving 87.7% AP on ShanghaiTech and best results on MSAD.