Search Results for author:
Found 5 papers, 1 papers with code
VPN: Learning Video-Pose Embedding for Activities of Daily Living
The 2 key components of this VPN are a spatial embedding and an attention network.
Ranked #6 on
Action Classification
on Toyota Smarthome dataset
(using extra training data)
Automatic Tracker Selection w.r.t Object Detection Performance
The tracking algorithm performance depends on video content.
Online Tracking Parameter Adaptation based on Evaluation
In order to solve this problem, this paper proposes an online parameter tuning to adapt a tracking algorithm to various scene contexts.
Automatic Parameter Adaptation for Multi-object Tracking
In order to decrease this dependency, this paper presents a learning approach to adapt the tracker parameters to the context variations.
Object Tracking in Videos: Approaches and Issues
Mobile object tracking has an important role in the computer vision applications.
