Generalized video anomaly event detection: Systematic taxonomy and comparison of deep models
Video Anomaly Detection (VAD) serves as a pivotal technology in the intelligent surveillance
systems, enabling the temporal or spatial identification of anomalous events within videos …
systems, enabling the temporal or spatial identification of anomalous events within videos …
Data association in multiple object tracking: A survey of recent techniques
L Rakai, H Song, SJ Sun, W Zhang, Y Yang - Expert systems with …, 2022 - Elsevier
The advances of Visual object tracking tasks in computer vision have enabled a growing
value in its application to video surveillance, particularly in a traffic scenario. In recent years …
value in its application to video surveillance, particularly in a traffic scenario. In recent years …
Cityflow: A city-scale benchmark for multi-target multi-camera vehicle tracking and re-identification
Urban traffic optimization using traffic cameras as sensors is driving the need to advance
state-of-the-art multi-target multi-camera (MTMC) tracking. This work introduces CityFlow, a …
state-of-the-art multi-target multi-camera (MTMC) tracking. This work introduces CityFlow, a …
Single-camera and inter-camera vehicle tracking and 3D speed estimation based on fusion of visual and semantic features
Tracking of vehicles across multiple cameras with non-overlapping views has been a
challenging task for the intelligent transportation system (ITS). It is mainly because of high …
challenging task for the intelligent transportation system (ITS). It is mainly because of high …
Back to optimization: Diffusion-based zero-shot 3d human pose estimation
Learning-based methods have dominated the 3D human pose estimation (HPE) tasks with
significantly better performance in most benchmarks than traditional optimization-based …
significantly better performance in most benchmarks than traditional optimization-based …
Cross-view tracking for multi-human 3d pose estimation at over 100 fps
Estimating 3D poses of multiple humans in real-time is a classic but still challenging task in
computer vision. Its major difficulty lies in the ambiguity in cross-view association of 2D …
computer vision. Its major difficulty lies in the ambiguity in cross-view association of 2D …
Divotrack: A novel dataset and baseline method for cross-view multi-object tracking in diverse open scenes
Cross-view multi-object tracking aims to link objects between frames and camera views with
substantial overlaps. Although cross-view multi-object tracking has received increased …
substantial overlaps. Although cross-view multi-object tracking has received increased …
Moana: An online learned adaptive appearance model for robust multiple object tracking in 3d
Multiple object tracking has been a challenging field, mainly due to noisy detection sets an
identity switch caused by occlusion and similar appearance among nearby targets. Previous …
identity switch caused by occlusion and similar appearance among nearby targets. Previous …
Kgnet: Knowledge-guided networks for category-level 6d object pose and size estimation
Despite the giant leap made in object 6D pose estimation and robotic grasping under
structured scenarios, most approaches depend heavily on the exact CAD models of target …
structured scenarios, most approaches depend heavily on the exact CAD models of target …
Multiple human association and tracking from egocentric and complementary top views
Crowded scene surveillance can significantly benefit from combining egocentric-view and its
complementary top-view cameras. A typical setting is an egocentric-view camera, eg, a …
complementary top-view cameras. A typical setting is an egocentric-view camera, eg, a …