How Effectively Can Indoor Wireless Positioning Relieve Visual Tracking Pains: A Camera-Rao Bound Viewpoint
This work addresses robustness issues in visual tracking for practitioners, but it is incremental as it builds on existing wireless positioning and visual tracking methods without introducing new algorithms.
The paper tackles the fragility of visual tracking in difficult scenarios like occlusion and appearance changes by integrating wireless positioning confidence regions derived from the Cramer-Rao bound as search areas, resulting in enhanced and robustified tracking performance as shown in experiments.
Visual tracking is fragile in some difficult scenarios, for instance, appearance ambiguity and variation, occlusion can easily degrade most of visual trackers to some extent. In this paper, visual tracking is empowered with wireless positioning to achieve high accuracy while maintaining robustness. Fundamentally different from the previous works, this study does not involve any specific wireless positioning algorithms. Instead, we use the confidence region derived from the wireless positioning Cramer-Rao bound (CRB) as the search region of visual trackers. The proposed framework is low-cost and very simple to implement, yet readily leads to enhanced and robustified visual tracking performance in difficult scenarios as corroborated by our experimental results. Most importantly, it is utmost valuable for the practioners to pre-evaluate how effectively can the wireless resources available at hand alleviate the visual tracking pains.