12 citations · 25 across the 5 of their papers we have counts for
6 papers
RGBD Object Tracking: An In-depth Review
Jinyu Yang, Zhe Li, Song Yan +4
RGBD object tracking is gaining momentum in computer vision research thanks to the development of depth sensors. Although numerous RGBD trackers have been proposed with promising p…
Depth-only Object Tracking
Song Yan, Jinyu Yang, Ales Leonardis +1
Depth (D) indicates occlusion and is less sensitive to illumination changes, which make depth attractive modality for Visual Object Tracking (VOT). Depth is used in RGBD object tra…
DepthTrack : Unveiling the Power of RGBD Tracking
Song Yan, Jinyu Yang, Jani Käpylä +3
RGBD (RGB plus depth) object tracking is gaining momentum as RGBD sensors have become popular in many application fields such as robotics.However, the best RGBD trackers are extens…
Learning Anthropometry from Rendered Humans
Song Yan, Joni-Kristian Kämäräinen
Accurate estimation of anthropometric body measurements from RGB images has many potential applications in industrial design, online clothing, medical diagnosis and ergonomics. Res…
Anthropometric clothing measurements from 3D body scans
Song Yan, Johan Wirta, Joni-Kristian Kämäräinen
We propose a full processing pipeline to acquire anthropometric measurements from 3D measurements. The first stage of our pipeline is a commercial point cloud scanner. In the secon…
Flash Lightens Gray Pixels
Yanlin Qian, Song Yan, Joni-Kristian Kämäräinen +1
In the real world, a scene is usually cast by multiple illuminants and herein we address the problem of spatial illumination estimation. Our solution is based on detecting gray pix…