W4: Real-Time Surveillance of People and Their Activities
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Summary
W/sup 4/ employs a combination of shape analysis and tracking to locate people and their parts and to create models of people's appearance so that they can be tracked through interactions such as occlusions.
- Type
- article
- Published
- 2000-08-01
- Cited by
- 2,835
- References
- 51
- OpenAlex
- https://openalex.org/W2114701396
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:6837802
Keywords
Computer vision, Artificial intelligence, Computer science, Object detection, Monocular
References
- Real-time 3D Motion Capture
- A Robust Background Subtraction and Shadow Detection
- Moving target classification and tracking from real-time video
- Ghost: a human body part labeling system using silhouettes
- W/sup 4/: Who? When? Where? What? A real time system for detecting and tracking people
- Statistical Models of Object Interaction
- Dynamic models of human motion
- Model-based image analysis of human motion using constraint propagation
- Backpack: detection of people carrying objects using silhouettes
- A camera-based system for tracking people in real time
- Image sequence analysis of real world human motion
- Using adaptive tracking to classify and monitor activities in a site
- Adaptive background mixture models for real-time tracking
- Real-time closed-world tracking
- Vision for a smart kiosk
- Tracking people with twists and exponential maps
- The Visual Analysis of Human Movement: A Survey
- Real-time estimation of human body posture from monocular thermal images
- Cardboard people: a parameterized model of articulated image motion
- Pfinder: real-time tracking of the human body
Cited by
- A Comparative Study of Background Estimation Algorithms
- Face Tracking Using Motion-Guided Dynamic Template Matching
- Improving representation and classification of image and video data for surveillance applications
- Real-Time Motion Segmentation of Sparse Feature Points at Any Speed
- Detecting Critical Situation in Public Transport
- Automatic Scene Understanding by Long-Term Observation
- High resolution segmentation with a time-of-flight 3D-camera using the example of a lecture scene
- Automatisiertes Tracking von Kopf- und Augenbewegungen bei 360°-Stimulation zur Charakterisierung des visuellen Systems kleiner Wirbeltiere
- Enhancing the Potential of the Conventional Gaussian Mixture Model for Segmentation: from Images to Videos
- Scene Understanding: perception, multi-sensor fusion, spatio-temporal reasoning and activity recognition. (Interprétation de Scènes : perception, fusion multi-capteurs, raisonnement spatio-temporel et reconnaissance d'activités)
- Selective Visual Attention in Electronic Video Surveillance
- Automated visual surveillance in computer vision
- Multi-person tracking system for complex outdoor environments
- Handling Occlusions in Monocular Surveillance Systems
- Metode Background Subtraction untuk Deteksi Obyek Pejalan Kaki pada Lingkungan Statis
- A Video Surveillance System under Varying Environmental Conditions
- Registration and Tracking Report
- Scene monitoring with a forest of cooperative sensors
- Automatic Vehicle Detection, Tracking and Recognition of License Plate in Real Time Videos
- Automatic Tracking of Multiple Pedestrians with Group Formation and Occlusions
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