Real-time visual tracking via online weighted multiple instance learning

By Kaihua Zhang, Huihui Song. 2013

271 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. G. Wang
2. Qingxiong Yang
3. Fangqiang Ding
4. Changhong Fu
5. Eric Granger
6. Geng Lu
7. Ziyuan Huang
8. Ting Liu

Citations in the corpus

• AutoTrack: Towards High-Performance Visual Tracking for UAV With Automatic Spatio-Temporal Regularization (2020, methodology): “Tracking by detection: tracking-by-detection framework, which regards the tracking as a classification problem, is widely adopted in UAV [5, 6, 7, 27, 28].”
• Multiple instance learning: A survey of problem characteristics and applications (2016, methodology): “Also in videos, MIL methods were proposed to perform object tracking [61, 138, 139].”
• Real-time part-based visual tracking via adaptive correlation filters (2015, background): “To handle the occlusion, many trackers divide the entire targets into separate parts [10, 11, 15, 18, 30, 38, 39, 41, 45, 48, 51].”