4 accepted papers
Recently, most siamese network based trackers locate targets via object classification and bounding-box regression. Generally, they select the bounding-box with maximum classification confidence as the final prediction. This strategy may miss the right result due to the accuracy misalignment between…
Bone scintigraphy is widely used to diagnose bone tumor and metastasis. Accurate hotspot segmentation from bone scintigraphy is of great importance for tumor metastasis diagnosis. In this paper, we propose a new framework to detect and extract hotspots in thoracic region by integrating the technique…
Occlusion is a great challenge for target model update in visual tracking. The target template may be corrupted by non-object information in the process of online learning due to occlusion. In this paper, we propose a context-based active occlusion recognition framework that can be integrated with v…
Occlusion is a special challenge in visual tracking, which may cause target template corrupted by background information. In this paper, we propose an adaptive occlusion detection framework for robust tracking against occlusion. The framework consists of a patch tracker, an occlusion detector, a tem…