73 citations · 78 across the 5 of their papers we have counts for
12 papers
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…
Monolithic vs. hybrid controller for multi-objective Sim-to-Real learning
Atakan Dag, Alexandre Angleraud, Wenyan Yang +4
Simulation to real (Sim-to-Real) is an attractive approach to construct controllers for robotic tasks that are easier to simulate than to analytically solve. Working Sim-to-Real so…
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…
CDTB: A Color and Depth Visual Object Tracking Dataset and Benchmark
Alan Lukežič, Ugur Kart, Jani Käpylä +4
A long-term visual object tracking performance evaluation methodology and a benchmark are proposed. Performance measures are designed by following a long-term tracking definition t…
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…