8 citations · 15 across the 5 of their papers we have counts for
7 papers
Loose Social-Interaction Recognition in Real-world Therapy Scenarios
Abid Ali, Rui Dai, Ashish Marisetty +5
The computer vision community has explored dyadic interactions for atomic actions such as pushing, carrying-object, etc. However, with the advancement in deep learning models, ther…
VPN: Learning Video-Pose Embedding for Activities of Daily Living
Srijan Das, Saurav Sharma, Rui Dai +2
In this paper, we focus on the spatio-temporal aspect of recognizing Activities of Daily Living (ADL). ADL have two specific properties (i) subtle spatio-temporal patterns and (ii)…
Automatic Tracker Selection w.r.t Object Detection Performance
Duc Phu Chau, François Bremond, Monique Thonnat +1
The tracking algorithm performance depends on video content. This paper presents a new multi-object tracking approach which is able to cope with video content variations. First the…
Object Tracking in Videos: Approaches and Issues
Duc Phu Chau, François Bremond, Monique Thonnat
Mobile object tracking has an important role in the computer vision applications. In this paper, we use a tracked target-based taxonomy to present the object tracking algorithms. T…
A multi-feature tracking algorithm enabling adaptation to context variations
Duc Phu Chau, François Bremond, Monique Thonnat
We propose in this paper a tracking algorithm which is able to adapt itself to different scene contexts. A feature pool is used to compute the matching score between two detected o…
Robust Mobile Object Tracking Based on Multiple Feature Similarity and Trajectory Filtering
Duc Phu Chau, François Bremond, Monique Thonnat +1
This paper presents a new algorithm to track mobile objects in different scene conditions. The main idea of the proposed tracker includes estimation, multi-features similarity meas…