A framework for spatiotemporal control in the tracking of visual contours
International Journal of Computer Vision
Neural Network-Based Face Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Efficient Region Tracking With Parametric Models of Geometry and Illumination
IEEE Transactions on Pattern Analysis and Machine Intelligence
CONDENSATION—Conditional Density Propagation forVisual Tracking
International Journal of Computer Vision
Neural network-based text location in color images
Pattern Recognition Letters
Fuzzy and Recurrent Neural Network Motion Control among Dynamic Obstacles for Robot Manipulators
Journal of Intelligent and Robotic Systems
A Flexible Control Architecture for Mobile Robots: An Application for a Walking Robot
Journal of Intelligent and Robotic Systems
Arbitration (or How to Merge Knowledge Bases)
IEEE Transactions on Knowledge and Data Engineering
Human Body Model Acquisition and Tracking Using Voxel Data
International Journal of Computer Vision
Design and Implementation of High-Speed Visual Tracking System for Real Time Motion Analysis
ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume III-Volume 7276 - Volume 7276
A framework for heading-guided recognition of human activity
Computer Vision and Image Understanding
Salient feature extraction of industrial objects for an automated assembly system
Computers in Industry
Intelligent mobile manipulator navigation using adaptive neuro-fuzzy systems
Information Sciences: an International Journal
Head orientation prediction: delta quaternions versus quaternions
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Model-based human gait recognition using leg and arm movements
Engineering Applications of Artificial Intelligence
Future Generation Computer Systems
IEEE Transactions on Robotics
Neurofuzzy-Based Approach to Mobile Robot Navigation in Unknown Environments
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Content-Based Multimedia Retrieval Using Feature Correlation Clustering and Fusion
International Journal of Multimedia Data Engineering & Management
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Tracking moving objects is one of the most important but problematic features of motion analysis and understanding. The Kalman filter (KF) has commonly been used for estimation and prediction of the target position in succeeding frames. In this paper, we propose a novel and efficient method of tracking, which performs well even when the target takes a sudden turn during its motion. The proposed method arbitrates between KF and Optical flow (OF) to improve the tracking performance. Our system utilizes a laser to measure the distance to the nearest obstacle and an infrared camera to find the target. The relative data is then fused with the Arbitrate OFKF filter to perform real-time tracking. Experimental results show our suggested approach is very effective and reliable for estimating and tracking moving objects.