Object tracking: A survey
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Summary
The goal of this article is to review the state-of-the-art tracking methods, classify them into different categories, and identify new trends to discuss the important issues related to tracking including the use of appropriate image features, selection of motion models, and detection of objects.
- Type
- review
- Published
- 2006-12-25
- Cited by
- 5,734
- References
- 173
- Access
- Open access
- OpenAlex
- https://openalex.org/W1995903777
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:11962297
Keywords
Computer science, Computer vision, Artificial intelligence, Object (grammar), Video tracking
References
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- Geodesic Active Regions and Level Set Methods for Supervised Texture Segmentation
- 3D structure reconstruction from an ego motion sequence using statistical estimation and detection theory
- A Probabilistic Exclusion Principle for Tracking Multiple Objects
- Tracking with Kalman snakes
- M2Tracker: A Multi-View Approach to Segmenting and Tracking People in a Cluttered Scene
- Visual Mapping by a Robot Rover
- Bayesian Networks and Decision Graphs
- Interpreting face images using active appearance models
- Mean shift analysis and applications
- Maximum likelihood method for probabilistic multihypothesis tracking
- Human motion analysis: a review
- Statistical mosaics for tracking
- Edge detector evaluation using empirical ROC curves
Cited by
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- Automated Surveillance Systems with Multi-Camera and Robotic Platforms
- Developing a person guidance module for hospital robots
- Real-time Target Tracking Using a Pan and Tilt Platform
- Improving representation and classification of image and video data for surveillance applications
- Improving the efficiency and accuracy of nocturnal bird Surveys through equipment selection and partial automation
- Computational analysis of live cell images of the Arabidopsis thaliana plant.
- Detecting Critical Situation in Public Transport
- Language Grounding in Robots
- Image processing and recognition for biological images
- Sequential Topic Models for Mining Recurrent Activities and their Relationships
- Detecting Lateral Motion using Light’s Orbital Angular Momentum
- NUS-PRO: A New Visual Tracking Challenge
- Stereoscopic vision in vehicle navigation.
- Data-driven background representation method to video surveillance.
- Glottal Gap tracking by a continuous background modeling using inpainting
- A framework for video annotation, visualization, and interaction
- Smart Sensors For Interoperable Smart Environment
- Intrinsic 3D Dynamic Surface Tracking based on Dynamic Ricci Flow and Teichmüller Map
- A Literature Review on Video Analytics of Crowded Scenes
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