Latest Research in Video Surveillance and Tracking Methods
29 research papers · 2026 median publication year
Top Research Topics in Video Surveillance and Tracking Methods
- Computer Vision and Pattern Recognition — 20 papers
- Video Surveillance and Tracking Methods — 3 papers
- Inertial Sensor and Navigation — 1 papers
- Advanced Graph Neural Networks — 1 papers
- Methodology — 1 papers
- Advanced Neural Network Applications — 1 papers
- Neural and Evolutionary Computing — 1 papers
- Artificial Intelligence — 1 papers
Highest-Cited Papers
- Exploring Decoupled Spatio-Temporal Consistency Learning and Self-Prompting Evolution for Self-Supervised Tracking
- MVTrack: Ultrafast Appearance-Free Moving Object Tracking from Compressed Bitstreams
- Data-driven Physical Adjustment for Nonlinear Motion Tracking
- FeedbackTrack: Visual-Cortex-Inspired Cross-Frame Feedback for Transformer Tracking
- Bridging Object Detection and Segmentation with Polygon Detection Transformers
- GenTrack3: Hybrid Stochastic-Deterministic Online Multi-Object Tracking with Cluster-Aware Association
- ATLASFusion: Aggregation Tracking with Location-Aware Sparse Fusion for Robust Spatio-Temporal Multi-View Pedestrian Tracking
- Adaptive token division-based transformer for visual object tracking
- Robust object tracking using segmented credible template and dynamic template set updating strategy
- Open-World Hierarchical Perception: Taxonomic Abstraction over Class-Agnostic Proposals for the Safe Handling of Out-of-Vocabulary Road Objects
- Learning a unified graph transformer with mamba-based dynamic state evolution for 3D multi-object tracking
- Geometric-Topological Perception and Motion Prior for Real-Time Satellite Video Object Tracking
- Enhancing Visual Perception in Foggy Conditions via Multiclass Fog Density Modeling
- Parameter-Dynamic Adaptive Fusion and Calibration Network for RGBT Tracking
- AURORA-Track: Uncertainty-Aware Identity Prediction for Robust Multi-Object Tracking in Satellite Video
- A Unified Benchmark and Modality-Adaptive Network for Day-and-Night Drone-View Geo-Localization
- RRTrack: Robust and Recoverable Object 6D Pose Tracking for Dynamic Scenes
- Tractable Approximation of Labeled Multi-Object Posterior Densities
- Geo-Visual Fusion: An Enhanced Strategy for Drone Object Detection Based on High-Definition Map Context
- Efficient Tracking and Understanding Object Transformations