Adaptive filter theory
Discrete-time control systems
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations
3-D Surface Description from Binocular Stereo
IEEE Transactions on Pattern Analysis and Machine Intelligence
Neural networks: a systematic introduction
Neural networks: a systematic introduction
System identification (2nd ed.): theory for the user
System identification (2nd ed.): theory for the user
Surface description from binocular stereo
Surface description from binocular stereo
Handling occlusion in optical flow algorithms for object tracking
Computers & Mathematics with Applications
Fuzzy control for obstacle detection in object tracking
Mathematical and Computer Modelling: An International Journal
Fuzzy control for obstacle detection in stereo video sequences
Mathematical and Computer Modelling: An International Journal
MAC-level Forward Error Correction mechanism for minimum error recovery overhead and retransmission
Mathematical and Computer Modelling: An International Journal
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In this paper, we study simple algorithms for three-dimensional tracking objects in a stereo video sequence, by combining optical flow and stereo vision. This method is not able to handle the occlusion of the moving objects when they disappear due to an obstacle. To improve the performance of this method, we propose the use of adaptive filters and neural networks to predict the expected instantaneous velocities of the objects. In the previous works, this system has been successfully proved in two-dimensional tracking.