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A survey on visual surveillance of object motion and behaviors

by Weiming Hu, Tieniu Tan, Liang Wang, Steve Maybank - IEEE Transactions on Systems, Man and Cybernetics , 2004
"... Abstract—Visual surveillance in dynamic scenes, especially for humans and vehicles, is currently one of the most active research topics in computer vision. It has a wide spectrum of promising applications, including access control in special areas, human identification at a distance, crowd flux stat ..."
Abstract - Cited by 439 (6 self) - Add to MetaCart
-dimensional tracking, a combination of motion analysis and biometrics, anomaly detection and behavior prediction, content-based retrieval of surveillance videos, behavior understanding and natural language description, fusion of information from multiple sensors, and remote surveillance. Index Terms

Illusion and well-being: A social psychological perspective on mental health.

by Shelley E Taylor , Jonathon D Brown , Nancy Cantor , Edward Emery , Susan Fiske , Tony Green-Wald , Connie Hammen , Darrin Lehman , Chuck Mcclintock , Dick Nisbett , Lee Ross , Bill Swann , Joanne - Psychological Bulletin, , 1988
"... Many prominent theorists have argued that accurate perceptions of the self, the world, and the future are essential for mental health. Yet considerable research evidence suggests that overly positive selfevaluations, exaggerated perceptions of control or mastery, and unrealistic optimism are charac ..."
Abstract - Cited by 988 (20 self) - Add to MetaCart
nature with all of its discrepancies from the ideal image without feeling real concern. It would convey the wrong impression to say that they are self-satisfied. What we must rather say is that they can take the frailties and sins, weaknesses and evils of human nature in the same unquestioning spirit

Towards a Qualitative Model for Natural Language Communication about Vehicle Traffic

by H. Joe Steinhauer
"... In this paper we describe a technique how an object constellation can be successively reconstructed just from its qualitative position relation descriptions. A simple and intuitive model functions as a frame of reference for both, the relation descriptions and the reconstruction of the object conste ..."
Abstract - Cited by 1 (1 self) - Add to MetaCart
In this paper we describe a technique how an object constellation can be successively reconstructed just from its qualitative position relation descriptions. A simple and intuitive model functions as a frame of reference for both, the relation descriptions and the reconstruction of the object

Toward understanding natural language directions

by Thomas Kollar, Stefanie Tellex, Deb Roy, Nicholas Roy - in Proceedings of the 5th ACM/IEEE International Conference on Human-Robot Interaction (HRI , 2010
"... Abstract—Speaking using unconstrained natural language is an intuitive and flexible way for humans to interact with robots. Understanding this kind of linguistic input is challenging because diverse words and phrases must be mapped into structures that the robot can understand, and elements in those ..."
Abstract - Cited by 70 (22 self) - Add to MetaCart
in those structures must be grounded in an uncertain environment. We present a system that follows natural language directions by extracting a sequence of spatial description clauses from the linguistic input and then infers the most probable path through the environment given only information about

Learning Models for Object Recognition From Natural Language Descriptions

by Josiah Wang, Katja Markert, Mark Everingham , 2009
"... We investigate the task of learning models for visual object recognition from natural language descriptions alone. The approach contributes to the recognition of fine-grain object categories, such as animal and plant species, where it may be difficult to collect many images for training, but where t ..."
Abstract - Cited by 35 (1 self) - Add to MetaCart
We investigate the task of learning models for visual object recognition from natural language descriptions alone. The approach contributes to the recognition of fine-grain object categories, such as animal and plant species, where it may be difficult to collect many images for training, but where

Symbol grounding and meaning: A comparison of high-dimensional and embodied theories of meaning

by Arthur M. Glenberg, David A. Robertson - Journal of Memory and Language , 2000
"... model meaning as the relations among abstract symbols that are arbitrarily related to what they signify. These symbols are ungrounded in that they are not tied to perceptual experience or action. Because the symbols are ungrounded, they cannot, in principle, capture the meaning of novel situations. ..."
Abstract - Cited by 178 (9 self) - Add to MetaCart
. In contrast, participants in three experiments found it trivially easy to discriminate between descriptions of sensible novel situations (e.g., using a newspaper to protect one’s face from the wind) and nonsense novel situations (e.g., using a matchbook to protect one’s face from the wind). These results

Behavioral theories and the neurophysiology of reward,

by Wolfram Schultz - Annu. Rev. Psychol. , 2006
"... ■ Abstract The functions of rewards are based primarily on their effects on behavior and are less directly governed by the physics and chemistry of input events as in sensory systems. Therefore, the investigation of neural mechanisms underlying reward functions requires behavioral theories that can ..."
Abstract - Cited by 187 (0 self) - Add to MetaCart
toward the current Annu. Rev. Psychol. 2006.57:87-115. Downloaded from arjournals.annualreviews.org by HARVARD UNIVERSITY on 04/18/07. For personal use only. THEORY AND NEUROPHYSIOLOGY OF REWARD 89 optimum. This review describes some of the knowledge on brain mechanisms related to rewarding outcomes

Automated Qualitative Description of Measurements

by Enrique H. Ruspini, Igor S. Zwir - In Proceedings of the 16th IEEE Instrumentation and Measurement Technology Conference , 1999
"... Measurements are usually thought of as precise numbers resulting from observation of a real-world system by means of special sensors or measuring devices. Humans frequently resort, however, to qualitative descriptions—based on the extent by which measurements agree with various models of relevance t ..."
Abstract - Cited by 10 (4 self) - Add to MetaCart
Measurements are usually thought of as precise numbers resulting from observation of a real-world system by means of special sensors or measuring devices. Humans frequently resort, however, to qualitative descriptions—based on the extent by which measurements agree with various models of relevance

Natural Language Generation of Museum Object Descriptions based on User Model

by Hsiao Wei Chen, Mary Grace Lim, Patricia Bea Perez, Joanna Patricia Reyes, Nathalie Rose Lim, De La
"... Abstract. Natural Language Generation (NLG) techniques can be applied in generating virtual documents dynamically using information from a database (Dale et al, 1999). One of the applications of NLG techniques to generate documents dynamically is the web-based interactive virtual museum, VIGAN. NLG ..."
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Abstract. Natural Language Generation (NLG) techniques can be applied in generating virtual documents dynamically using information from a database (Dale et al, 1999). One of the applications of NLG techniques to generate documents dynamically is the web-based interactive virtual museum, VIGAN. NLG

Learning Semantic Maps from Natural Language Descriptions

by Matthew R. Walter, Sachithra Hemach, Bianca Homberg, Stefanie Tellex, Seth Teller
"... Abstract—This paper proposes an algorithm that enables robots to efficiently learn human-centric models of their environment from natural language descriptions. Typical semantic mapping approaches augment metric maps with higher-level properties of the robot’s surroundings (e.g., place type, object ..."
Abstract - Cited by 11 (6 self) - Add to MetaCart
Abstract—This paper proposes an algorithm that enables robots to efficiently learn human-centric models of their environment from natural language descriptions. Typical semantic mapping approaches augment metric maps with higher-level properties of the robot’s surroundings (e.g., place type, object
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