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CVPR
2010
IEEE
14 years 3 months ago
Figure-Ground Segmentation Improves Handled Object Recognition in Egocentric Video
Identifying handled objects, i.e. objects being manipulated by a user, is essential for recognizing the person’s activities. An egocentric camera as worn on the body enjoys many...
Xiaofeng Ren, Chunhui Gu
ICRA
2010
IEEE
153views Robotics» more  ICRA 2010»
13 years 6 months ago
High-speed 3D object recognition using additive features in a linear subspace
— In this paper we propose a method of high-speed 3D object recognition using linear subspace method and our 3D features. This method can be applied to partial models with any si...
Asako Kanezaki, Hideki Nakayama, Tatsuya Harada, Y...
ICMCS
2006
IEEE
98views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Video Object Segmentation Based on Object Enhancement and Region Merging
This paper proposes a number of improvements to existing work in off line video object segmentation. Object color and motion variance, and histogram-based merging are used to impr...
Ken Ryan, Aishy Amer, Langis Gagnon
IJCAI
2007
13 years 9 months ago
MESH-Based Active Monte Carlo Recognition (MESH-AMCR)
In this paper we extend Active Monte Carlo Recognition (AMCR), a recently proposed framework for object recognition. The approach is based on the analogy between mobile robot loca...
Felix von Hundelshausen, Hans-Joachim Wünsche...
AVSS
2005
IEEE
14 years 1 months ago
Object tracking using color interest points
This paper presents a new approach for tracking objects in complex situations such as people in a crowd or players on a soccer field. Each object in the image is represented by s...
Pierre Fatrus Gabriel, Jean-Bernard Hayet, Justus ...