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» Tracking Objects Using Recognition
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132
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PRL
2007
166views more  PRL 2007»
15 years 3 months ago
Boosted Landmarks of Contextual Descriptors and Forest-ECOC: A novel framework to detect and classify objects in cluttered scene
In this paper, we present a novel methodology to detect and recognize objects in cluttered scenes by proposing boosted contextual descriptors of landmarks in a framework of multi-...
Sergio Escalera, Oriol Pujol, Petia Radeva
125
Voted
ICIP
2000
IEEE
16 years 5 months ago
Vehicle Detection and Tracking in Video
In this paper, we present a scheme for vehicle detection and tracking in video. The proposed method effectively combines statistical knowledge about the class of vehicles with mot...
A. N. Rajagopalan, Rama Chellappa
136
Voted
GIS
2002
ACM
15 years 3 months ago
Web architectures for scalable moving object servers
The paper describes how the Web can be used as a support for intensive querying and display of large moving objects databases. We present first an architecture for a system which ...
Cédric du Mouza, Philippe Rigaux
160
Voted
ECAI
2008
Springer
15 years 5 months ago
Salience-driven Contextual Priming of Speech Recognition for Human-Robot Interaction
Abstract. The paper presents an implemented model for priming speech recognition, using contextual information about salient entities. The underlying hypothesis is that, in human-r...
Pierre Lison, Geert-Jan M. Kruijff
117
Voted
ICIP
2007
IEEE
16 years 5 months ago
A High-Speed Vision System for Moment-Based Analysis of Numerous Objects
We describe a high-speed vision system for real-time applications, which is capable of processing visual information at a frame rate of 1 kfps, including both imaging and processi...
Yoshihiro Watanabe, Takashi Komuro, Masatoshi Ishi...