activity
20192022
most citedFine-grained Classification of Rowing teams

2 citations · 4 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2022★ 2 cited

Heart rate estimation in intense exercise videos

Yeshwanth Napolean, Anwesh Marwade, Nergis Tomen +3

Estimating heart rate from video allows non-contact health monitoring with applications in patient care, human interaction, and sports. Existing work can robustly measure heart rat…

cs.CV2021

The Arm-Swing Is Discriminative in Video Gait Recognition for Athlete Re-Identification

Yapkan Choi, Yeshwanth Napolean, Jan C. van Gemert

In this paper we evaluate running gait as an attribute for video person re-identification in a long-distance running event. We show that running gait recognition achieves competiti…

cs.CV2021

Heuristics2Annotate: Efficient Annotation of Large-Scale Marathon Dataset For Bounding Box Regression

Pranjal Singh Rajput, Yeshwanth Napolean, Jan van Gemert

Annotating a large-scale in-the-wild person re-identification dataset especially of marathon runners is a challenging task. The variations in the scenarios such as camera viewpoint…

cs.CV2019★ 2 cited

Fine-grained Classification of Rowing teams

M. J. A. van Wezel, L. J. Hamburger, Y. Napolean

Fine-grained classification tasks such as identifying different breeds of dog are quite challenging as visual differences between categories is quite small and can be easily overwh…

cs.CV2019

Running Event Visualization using Videos from Multiple Cameras

Yeshwanth Napolean, Priadi Teguh Wibowo, Jan van Gemert

Visualizing the trajectory of multiple runners with videos collected at different points in a race could be useful for sports performance analysis. The videos and the trajectories…