11 citations · 11 across the 1 of their papers we have counts for
2 papers
cs.CV2015
Instance Significance Guided Multiple Instance Boosting for Robust Visual Tracking
Jinwu Liu, Yao Lu, Tianfei Zhou
Multiple Instance Learning (MIL) recently provides an appealing way to alleviate the drifting problem in visual tracking. Following the tracking-by-detection framework, an online M…
cs.CV2014★ 11 cited
Abrupt Motion Tracking via Nearest Neighbor Field Driven Stochastic Sampling
Tianfei Zhou, Yao Lu, Feng Lv +3
Stochastic sampling based trackers have shown good performance for abrupt motion tracking so that they have gained popularity in recent years. However, conventional methods tend to…