Results 1 - 10 of 1,431

Visual interpretation of hand gestures for human-computer interaction: A review

by Vladimir I. Pavlovic, Rajeev Sharma, Thomas S. Huang - IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE , 1997
"... The use of hand gestures provides an attractive alternative to cumbersome interface devices for human-computer interaction (HCI). In particular, visual interpretation of hand gestures can help in achieving the ease and naturalness desired for HCI. This has motivated a very active research area conc ..."
Abstract - Cited by 489 (17 self) - Add to MetaCart
The use of hand gestures provides an attractive alternative to cumbersome interface devices for human-computer interaction (HCI). In particular, visual interpretation of hand gestures can help in achieving the ease and naturalness desired for HCI. This has motivated a very active research area

Coding, Analysis, Interpretation, and Recognition of Facial Expressions

by Irfan A. Essa , 1997
"... We describe a computer vision system for observing facial motion by using an optimal estimation optical flow method coupled with geometric, physical and motion-based dynamic models describing the facial structure. Our method produces a reliable parametric representation of the face's independen ..."
Abstract - Cited by 331 (6 self) - Add to MetaCart
We describe a computer vision system for observing facial motion by using an optimal estimation optical flow method coupled with geometric, physical and motion-based dynamic models describing the facial structure. Our method produces a reliable parametric representation of the face

Learning by Watching: Extracting Reusable Task Knowledge from Visual Observation of Human Performance

by Yasuo Kuniyoshi, Masayuki Inaba, Hirochika Inoue - IEEE Transactions on Robotics and Automation , 1994
"... A novel task instruction method for future intelligent robots is presented. In our method, a robot learns reusable task plans by watching a human perform assembly tasks. Functional units and working algorithms for visual recognition and analysis of human action sequences are presented. The overall s ..."
Abstract - Cited by 298 (6 self) - Add to MetaCart
A novel task instruction method for future intelligent robots is presented. In our method, a robot learns reusable task plans by watching a human perform assembly tasks. Functional units and working algorithms for visual recognition and analysis of human action sequences are presented. The overall

Machine recognition of human activities: A survey

by Pavan Turaga, Rama Chellappa, V. S. Subrahmanian, Octavian Udrea , 2008
"... The past decade has witnessed a rapid proliferation of video cameras in all walks of life and has resulted in a tremendous explosion of video content. Several applications such as content-based video annotation and retrieval, highlight extraction and video summarization require recognition of the a ..."
Abstract - Cited by 218 (0 self) - Add to MetaCart
, recognition, and learning of human activities from video and related applications. We discuss the problem at two major levels of complexity: 1) “actions ” and 2) “activities. ” “Actions ” are characterized by simple motion patterns typically executed by a single human. “Activities ” are more complex

Recent Developments in Human Motion Analysis

by Liang Wang, Weiming Hu, Tieniu Tan
"... Visual analysis of human motion is currently one of the most active research topics in computer vision. This strong interest is driven by a wide spectrum of promising applications in many areas such as virtual reality, smart surveillance, perceptual interface, etc. Human motion analysis concerns the ..."
Abstract - Cited by 264 (3 self) - Add to MetaCart
the detection, tracking and recognition of people, and more generally, the understanding of human behaviors, from image sequences involving humans. This paper provides a comprehensive survey of research on computer vision based human motion analysis. The emphasis is on three major issues involved in a general

Exploiting Human Actions and Object Context for Recognition Tasks

by Darnell J. Moore, Irfan A. Essa, Monson H. Hayes III , 1999
"... Our goal is to exploit human motion and object context to perform action recognition and object classification. Towards this end, we introduce a framework for recognizing actions and objects by measuring image-, object- and action-based information from video. Hidden Markov models are combined with ..."
Abstract - Cited by 158 (6 self) - Add to MetaCart
Our goal is to exploit human motion and object context to perform action recognition and object classification. Towards this end, we introduce a framework for recognizing actions and objects by measuring image-, object- and action-based information from video. Hidden Markov models are combined

Modeling temporal structure of decomposable motion segments for activity classification

by Juan Carlos Niebles, Chih-wei Chen, Li Fei-fei - in Proc. 11th European Conf. Comput. Vision, 2010
"... Abstract. Much recent research in human activity recognition has focused on the problem of recognizing simple repetitive (walking, running, waving) and punctual actions (sitting up, opening a door, hugging). However, many interesting human activities are characterized by a complex temporal compositi ..."
Abstract - Cited by 157 (8 self) - Add to MetaCart
Abstract. Much recent research in human activity recognition has focused on the problem of recognizing simple repetitive (walking, running, waving) and punctual actions (sitting up, opening a door, hugging). However, many interesting human activities are characterized by a complex temporal

Human Action Recognition by Learning Bases of Action Attributes and Parts

by Bangpeng Yao, et al. , 2011
"... In this work, we propose to use attributes and parts for recognizing human actions in still images. We define action attributes as the verbs that describe the properties of human actions, while the parts of actions are objects and poselets that are closely related to the actions. We jointly model th ..."
Abstract - Cited by 55 (3 self) - Add to MetaCart
and feature reconstruction approach. On the PASCAL action dataset and a new “Stanford 40 Actions” dataset, we show that our method extracts meaningful high-order interactions between attributes and parts in human actions while achieving state-of-the-art classification performance.

Visual recognition with humans in the loop

by Steve Branson, Catherine Wah, Florian Schroff, Boris Babenko, Pietro Perona, Serge Belongie - In ECCV , 2010
"... Abstract. We present an interactive, hybrid human-computer method for object classification. The method applies to classes of objects that are recognizable by people with appropriate expertise (e.g., animal species or airplane model), but not (in general) by people without such expertise. It can be ..."
Abstract - Cited by 79 (5 self) - Add to MetaCart
, and on the Animals With Attributes dataset. Our results demonstrate that incorporating user input drives up recognition accuracy to levels that are good enough for practical applications, while at the same time, computer vision reduces the amount of human interaction required. 1

Human Activity Recognition with Metric Learning

by Du Tran, Er Sorokin
"... Abstract. This paper proposes a metric learning based approach for human activity recognition with two main objectives: (1) reject unfamiliar activities and (2) learn with few examples. We show that our approach outperforms all state-of-the-art methods on numerous standard datasets for traditional a ..."
Abstract - Cited by 67 (0 self) - Add to MetaCart
Abstract. This paper proposes a metric learning based approach for human activity recognition with two main objectives: (1) reject unfamiliar activities and (2) learn with few examples. We show that our approach outperforms all state-of-the-art methods on numerous standard datasets for traditional
Results 1 - 10 of 1,431