Activity Recognition

January 6, 2015 / Last updated : January 5, 2020 irfan Activity Recognition

Paper in IEEE WACV (2015): “Leveraging Context to Support Automated Food Recognition in Restaurants”

Citation V. Bettadapura, E. Thomaz, Aman Parnami, G. Abowd, and I. Essa (2015), “Leveraging Context to Support Automated Food Recognition in Restaurants,” in IEEE Winter Conference on Applications of Computer Vision (WACV), 2015. [PDF] [WEBSITE] [DOI] [arXiv] [BIBTEX] @InProceedings{ 2015-Bettadapura-LCSAFRR, arxiv = {http://arxiv.org/abs/1510.02078}, author = {Vinay Bettadapura and Edison Thomaz and Aman Parnami and Gregory […]
September 14, 2014 / Last updated : January 6, 2020 irfan Activity Recognition

Paper in M2CAI 2014: “Video Based Assessment of OSATS Using Sequential Motion Textures”

Paper Y. Sharma, V. Bettadapura, Thomas Ploetz, N. Hammerla, S. Mellor, R. McNaney, P. Olivier, Sandeep Deshmukh, A. Mccaskie, and I. Essa (2014), “Video Based Assessment of OSATS Using Sequential Motion Textures,” in Proceedings of Workshop on Modeling and Monitoring of Computer Assisted Interventions (M2CAI), 2014. (Best Paper Honorable Mention Award) [PDF] [BIBTEX] @InProceedings{ 2014-Sharma-VBAOUSMT, […]
May 2, 2014 / Last updated : January 5, 2020 irfan Affective Computing

PhD Thesis by Zahoor Zafrulla "Automatic recognition of American Sign Language Classifiers

Title: Automatic recognition of American Sign Language Classifiers Zahoor Zafrulla School of Interactive Computing College of Computing Georgia Institute of Technology http://www.cc.gatech.edu/grads/z/zahoor/ Committee: Dr. Thad Starner (Advisor, School of Interactive Computing, Georgia Tech) Dr. Irfan Essa (Co-Advisor, School of Interactive Computing, Georgia Tech) Dr. Jim Rehg (School of Interactive Computing, Georgia Tech) Dr. Harley Hamilton […]
April 28, 2014 / Last updated : April 28, 2014 irfan Behavioral Imaging

Paper in IBSI 2014 conference entitled "Automated Surgical OSATS Prediction from Videos"

Abstract The assessment of surgical skills is an essential part of medical training. The prevalent manual evaluations by expert surgeons are time consuming and often their outcomes vary substantially from one observer to another. We present a video-based framework for automated evaluation of surgical skills based on the Objective Structured Assessment of Technical Skills (OSATS) […]
April 2, 2014 / Last updated : January 5, 2020 irfan Activity Recognition

Two Ph. D. Defenses the same day. A first for me!

Today, two of my Ph. D. Students defended their Dissertations.  Back to back.  Congrats to both as they are both done. Thesis title: Surgical Skill Assessment Using Motion Texture analysis Student: Yachna Sharma, Ph. D. Candidate in ECE http://users.ece.gatech.edu/~ysharma3/ Date/Time : 2nd April, 1:00 pm Title : Temporally Consistent Semantic Segmentation in Videos S. Hussain […]
September 14, 2013 / Last updated : January 5, 2020 irfan Activity Recognition

Paper in ACM Ubicomp 2013 "Technological approaches for addressing privacy concerns when recognizing eating behaviors with wearable cameras"

 Abstract First-person point-of-view (FPPOV) images taken by wearable cameras can be used to better understand people’s eating habits. Human computation is a way to provide effective analysis of FPPOV images in cases where algorithmic approaches currently fail. However, privacy is a serious concern. We provide a framework, the privacy-saliency matrix, for understanding the balance between […]
August 11, 2013 / Last updated : January 5, 2020 irfan Activity Recognition

Paper in ACM KDD 2013 "Detecting insider threats in a real corporate database of computer usage activity"

Abstract This paper reports on methods and results of an applied research project by a team consisting of SAIC and four universities to develop, integrate, and evaluate new approaches to detect the weak signals characteristic of insider threats on organizations’ information systems. Our system combines structural and semantic information from a real corporate database of […]
June 27, 2013 / Last updated : January 5, 2020 irfan Affective Computing

Paper in IEEE CVPR 2013 "Decoding Children's Social Behavior"

Abstract We introduce a new problem domain for activity recognition: the analysis of children’s social and communicative behaviors based on video and audio data. We specifically target interactions between children aged 1-2 years and an adult. Such interactions arise naturally in the diagnosis and treatment of developmental disorders such as autism. We introduce a new […]
June 27, 2013 / Last updated : January 5, 2020 irfan Activity Recognition

Paper in IEEE CVPR 2013 "Augmenting Bag-of-Words: Data-Driven Discovery of Temporal and Structural Information for Activity Recognition"

Abstract We present data-driven techniques to augment Bag of Words (BoW) models, which allow for more robust modeling and recognition of complex long-term activities, especially when the structure and topology of the activities are not known a priori. Our approach specifically addresses the limitations of standard BoW approaches, which fail to represent the underlying temporal […]
October 7, 2012 / Last updated : January 6, 2020 irfan Activity Recognition

Paper in ECCV Workshop 2012: “Weakly Supervised Learning of Object Segmentations from Web-Scale Videos”

Citation Abstract We propose to learn pixel-level segmentations of objects from weakly labeled (tagged) internet videos. Espe cially, given a large collection of raw YouTube content, along with potentially noisy tags, our goal is to automatically generate spatiotemporal masks for each object, such as dog”, without employing any pre-trained object detectors. We formulate this problem as […]