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405
Learning by Watching: Extracting Reusable Task Knowledge from Visual Observation of Human Performance
- 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
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Cited by 298 (6 self)
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system is model based and integrated at the symbolic level. Temporal segmentation of a continuous task performance into meaningful units and identification of each operation is processed in real time by concurrent recognition processes under active attention control. Dependency among assembly operations
S.Z.: Open-set person re-identification
, 2014
"... Abstract. Person re-identification is becoming a hot research for devel-oping both machine learning algorithms and video surveillance applica-tions. The task of person re-identification is to determine which person in a gallery has the same identity to a probe image. This task basically as-sumes tha ..."
Abstract
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Cited by 1 (0 self)
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Abstract. Person re-identification is becoming a hot research for devel-oping both machine learning algorithms and video surveillance applica-tions. The task of person re-identification is to determine which person in a gallery has the same identity to a probe image. This task basically as
Joint dimension reduction and metric learning for person re-identification
- CoRR
"... Abstract. Person re-identification is an important technique towards automatic search of a person’s presence in a surveillance video. Among various methods developed for person re-identification, the Mahalanobis metric learning approaches have attracted much attention due to their impressive perform ..."
Abstract
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Cited by 1 (0 self)
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Abstract. Person re-identification is an important technique towards automatic search of a person’s presence in a surveillance video. Among various methods developed for person re-identification, the Mahalanobis metric learning approaches have attracted much attention due to their impressive
Person Re-Identification Ranking Optimisation by Discriminant Context Information Analysis
"... Person re-identification is an open and challenging prob-lem in computer vision. Existing re-identification ap-proaches focus on optimal methods for features matching (e.g., metric learning approaches) or study the inter-camera transformations of such features. These methods hardly ever pay attentio ..."
Abstract
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Person re-identification is an open and challenging prob-lem in computer vision. Existing re-identification ap-proaches focus on optimal methods for features matching (e.g., metric learning approaches) or study the inter-camera transformations of such features. These methods hardly ever pay
Expectation-Based Selective Attention for Visual Monitoring and Control of a Robot Vehicle
- Robotics and Autonomous Systems
, 1997
"... Reliable vision-based control of an autonomous vehicle requires the ability to focus attention on the important features in an input scene. Previous work with an autonomous lane following system, ALVINN [Pomerleau, 1993], has yielded good results in uncluttered conditions. This paper presents an art ..."
Abstract
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Cited by 34 (3 self)
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Reliable vision-based control of an autonomous vehicle requires the ability to focus attention on the important features in an input scene. Previous work with an autonomous lane following system, ALVINN [Pomerleau, 1993], has yielded good results in uncluttered conditions. This paper presents
Active gesture recognition using learned visual attention
- in Advances in Neural Information Processing Systems 8
, 1996
"... trevor,sandy~media.mit.edu We have developed a foveated gesture recognition system that runs in an unconstrained office environment with an active camera. Us-ing vision routines previously implemented for an interactive envi-ronment, we determine the spatial location of salient body parts of a user ..."
Abstract
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Cited by 7 (1 self)
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and guide an active camera to obtain images of gestures or expressions. A hidden-state reinforcement learning paradigm is used to implement visual attention. The attention module selects targets to foveate based on the goal of successful recognition, and uses a new multiple-model Q-Iearning formulation
Visual Routines and Attention
- Ph.D. Dissertation, MIT
, 1998
"... The human visual system solves an amazing range of problems in the course of everyday activities. Without conscious effort, the human visual system finds a place on the table to put down a cup, selects the shortest checkout queue in a grocery store, looks for moving vehicles before we cross a road, ..."
Abstract
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Cited by 17 (0 self)
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The human visual system solves an amazing range of problems in the course of everyday activities. Without conscious effort, the human visual system finds a place on the table to put down a cup, selects the shortest checkout queue in a grocery store, looks for moving vehicles before we cross a road
VISUAL ATTENTION
, 1991
"... One of the challenges for models of cognitive phenomena is the development of efficient and flexible interfaces between low level sensory information and high level processes. For visual processing, researchers have long argued that an attentional mechanism is required to perform many of the tasks r ..."
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required by high level vision. This thesis presents VISIT, a connectionist model of covert visual attention that has been used as a vehicle for studying this interface. The model is efficient, flexible, and is biologically plausible. The complexity of the network is linear in the number of pixels
Salient Features Based on Visual Attention for Multi-View Vehicle Classification
"... Abstract — The continuous rise in the amount of vehicles in circulation brings an increasing need for automatically and efficiently recognizing vehicle categories for multiple applications such as optimizing available parking spaces, balancing ferry load, planning infrastructure and managing traffic ..."
Abstract
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Cited by 1 (0 self)
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traffic, or servicing vehicles. This paper describes the design and implementation of a vehicle classification system using a set of images collected from 6 views. The proposed computational system combines human visual attention mechanisms to identify a set of salient discriminative features and a series
Models of bottom-up attention and saliency
- Tsotsos (Eds.), Neurobiology of Attention, Elsevier
, 2005
"... Abstract: Visually conspicuous, or so-called salient, stimuli often have the capability of attracting fo-cal visual attention towards their locations. Several computational architectures subserving this bottom-up, stimulus-driven, spatiotemporal deployment of attention are reviewed in this article. ..."
Abstract
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Cited by 21 (0 self)
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allowing a small part of the incoming sensory information to reach short-term memory and visual awareness [Linking Attention to Learning, Expectation, Competi-tion and Consciousness]. That is, instead of attempting to fully process the massive sensory input in parallel, nature has devised a serial strategy
Results 1 - 10
of
405
