Investigates Image data fusion techniques that combine image and track data from multiple sensors to achieve improved accuracies and more specific inferences than could be achieved by the use of a single sensor alone. Our aim is to explore the state-of-the-art image processing algorithms for achieving effective data fusion as in:
Motion Mask based Robust Hand Tracking
Admin 2021-04-08 👁️ 207
1. Introduction
- Although hand tracking algorithm has been widely used in virtual reality hand HCI system, it is still a challenging problem
in vision-based research area. due to the robustness and real-time requirements.
2. Main algorithm and principle
- motion mask based mean-shift tracking algorithm
1. Building color probability map using color histogram of target.
2. Motion detection by background subtraction.
3. Color probability map updated by motion mask.
4. Running mean-shift iteration on updated color probability map
5. Prediction of search window using grey model
3. Experiment Results
- motion mask based color probability map
- Hand tracking result