Detection and learning based appearance feature play the central role in data association
based multiple object tracking (MOT), but most recent MOT works usually ignore them and …

Abstract The Visual Object Tracking challenge 2015, VOT2015, aims at comparing short-
term single-object visual trackers that do not apply pre-learned models of object …

In this paper we revisit diffusion processes on affinity graphs for capturing the intrinsic
manifold structure defined by pairwise affinity matrices. Such diffusion processes have …

Abstract The Thermal Infrared Visual Object Tracking challenge 2015, VOT-TIR2015, aims at
comparing short-term single-object visual trackers that work on thermal infrared (TIR) …

Multi-target tracking is an interesting but challenging task in computer vision field. Most
previous data association based methods merely consider the relationships (eg appearance …

According to our statistics on over 2 million micro-videos, only 1.22% of them are associated
with venue information, which greatly hinders the location-oriented applications and …

In this paper, we explore how to utilize the video context to facilitate fashion parsing. Instead
of annotating a large amount of fashion images, we present a general, affordable and …

Feature subset selection is often required as a preliminary work for many pattern recognition
problems. In this paper, a novel filter framework is presented to select optimal feature subset …

Incorporating multiple cameras is an effective solution to improve the performance and
robustness of multi-target tracking to occlusion and appearance ambiguities. In this paper …

Abstract The majority of Multi-Object Tracking (MOT) algorithms based on the tracking-by-
detection scheme do not use higher order dependencies among objects or tracklets, which …