156 citations · 304 across the 25 of their papers we have counts for
21 papers · 1 filter
POPCat: Propagation of particles for complex annotation tasks
Adam Srebrnjak Yang, Dheeraj Khanna, John S. Zelek
Novel dataset creation for all multi-object tracking, crowd-counting, and industrial-based videos is arduous and time-consuming when faced with a unique class that densely populate…
Jersey Number Recognition using Keyframe Identification from Low-Resolution Broadcast Videos
Bavesh Balaji, Jerrin Bright, Harish Prakash +3
Player identification is a crucial component in vision-driven soccer analytics, enabling various downstream tasks such as player assessment, in-game analysis, and broadcast product…
Evaluating deep tracking models for player tracking in broadcast ice hockey video
Kanav Vats, Mehrnaz Fani, David A. Clausi +1
Tracking and identifying players is an important problem in computer vision based ice hockey analytics. Player tracking is a challenging problem since the motion of players in hock…
Text Detection & Recognition in the Wild for Robot Localization
Zobeir Raisi, John Zelek
Signage is everywhere and a robot should be able to take advantage of signs to help it localize (including Visual Place Recognition (VPR)) and map. Robust text detection & recognit…
Arbitrary Shape Text Detection using Transformers
Zobeir Raisi, Georges Younes, John Zelek
Recent text detection frameworks require several handcrafted components such as anchor generation, non-maximum suppression (NMS), or multiple processing stages (e.g. label generati…
Player Tracking and Identification in Ice Hockey
Kanav Vats, Pascale Walters, Mehrnaz Fani +2
Tracking and identifying players is a fundamental step in computer vision-based ice hockey analytics. The data generated by tracking is used in many other downstream tasks, such as…
Ice hockey player identification via transformers and weakly supervised learning
Kanav Vats, William McNally, Pascale Walters +2
Identifying players in video is a foundational step in computer vision-based sports analytics. Obtaining player identities is essential for analyzing the game and is used in downst…
Multi-task learning for jersey number recognition in Ice Hockey
Kanav Vats, Mehrnaz Fani, David A. Clausi +1
Identifying players in sports videos by recognizing their jersey numbers is a challenging task in computer vision. We have designed and implemented a multi-task learning network fo…
Puck localization and multi-task event recognition in broadcast hockey videos
Kanav Vats, Mehrnaz Fani, David A. Clausi +1
Puck localization is an important problem in ice hockey video analytics useful for analyzing the game, determining play location, and assessing puck possession. The problem is chal…
Localization of Ice-Rink for Broadcast Hockey Videos
Mehrnaz Fani, Pascale Berunelle Walters, David A. Clausi +2
In this work, an automatic and simple framework for hockey ice-rink localization from broadcast videos is introduced. First, video is broken into video-shots by a hierarchical part…
Text Detection and Recognition in the Wild: A Review
Zobeir Raisi, Mohamed A. Naiel, Paul Fieguth +2
Detection and recognition of text in natural images are two main problems in the field of computer vision that have a wide variety of applications in analysis of sports videos, aut…
Event detection in coarsely annotated sports videos via parallel multi receptive field 1D convolutions
Kanav Vats, Mehrnaz Fani, Pascale Walters +2
In problems such as sports video analytics, it is difficult to obtain accurate frame level annotations and exact event duration because of the lengthy videos and sheer volume of vi…
PuckNet: Estimating hockey puck location from broadcast video
Kanav Vats, William McNally, Chris Dulhanty +3
Puck location in ice hockey is essential for hockey analysts for determining the location of play and analyzing game events. However, because of the difficulty involved in obtainin…
Anomaly Detection in Images
Manpreet Singh Minhas, John Zelek
Visual defect assessment is a form of anomaly detection. This is very relevant in finding faults such as cracks and markings in various surface inspection tasks like pavement and a…
KPTransfer: improved performance and faster convergence from keypoint subset-wise domain transfer in human pose estimation
Kanav Vats, Helmut Neher, Alexander Wong +2
In this paper, we present a novel approach called KPTransfer for improving modeling performance for keypoint detection deep neural networks via domain transfer between different ke…
A Unified Formulation for Visual Odometry
Georges Younes, Daniel Asmar, John Zelek
Monocular Odometry systems can be broadly categorized as being either Direct, Indirect, or a hybrid of both. While Indirect systems process an alternative image representation to c…
Temporal Hockey Action Recognition via Pose and Optical Flows
Zixi Cai, Helmut Neher, Kanav Vats +2
Recognizing actions in ice hockey using computer vision poses challenges due to bulky equipment and inadequate image quality. A novel two-stream framework has been designed to impr…
FDMO: Feature Assisted Direct Monocular Odometry
Georges Younes, Daniel Asmar, John Zelek
Visual Odometry (VO) can be categorized as being either direct or feature based. When the system is calibrated photometrically, and images are captured at high rates, direct method…
PixelBNN: Augmenting the PixelCNN with batch normalization and the presentation of a fast architecture for retinal vessel segmentation
Henry A Leopold, Jeff Orchard, John S Zelek +1
Analysis of retinal fundus images is essential for eye-care physicians in the diagnosis, care and treatment of patients. Accurate fundus and/or retinal vessel maps give rise to lon…
Robust Structure from Motion in the Presence of Outliers and Missing Data
Guanghui Wang
Structure from motion is an import theme in computer vision. Although great progress has been made both in theory and applications, most of the algorithms only work for static scen…
Keyframe-based monocular SLAM: design, survey, and future directions
Georges Younes, Daniel Asmar, Elie Shammas +1
Extensive research in the field of monocular SLAM for the past fifteen years has yielded workable systems that found their way into various applications in robotics and augmented r…