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» Adaptive Background Mixture Models for Real-Time Tracking
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CVPR
2010
IEEE
14 years 1 months ago
Multi-Target Tracking by On-Line Learned Discriminative Appearance Models
We present an approach for online learning of discriminative appearance models for robust multi-target tracking in a crowded scene from a single camera. Although much progress has...
Cheng-Hao Kuo, Chang Huang, Ram Nevatia
AISS
2010
169views more  AISS 2010»
13 years 5 months ago
Effective Lane Detection and Tracking Method Using Statistical Modeling of Color and Lane Edge-orientation
This paper proposes an effective lane detection and tracking method using statistical modeling of lane color and edge-orientation in the image sequence. At first, we will address ...
Jin-Wook Lee, Jae-Soo Cho
JUCS
2010
265views more  JUCS 2010»
13 years 6 months ago
3D Head Pose and Facial Expression Tracking using a Single Camera
: Algorithms for 3D head pose and facial expression tracking using a single camera (monocular image sequences) is presented in this paper. The proposed method is based on a combina...
Lucas D. Terissi, Juan Carlos Gomez
WSCG
2004
212views more  WSCG 2004»
13 years 9 months ago
Face and Hands Segmentation in Color Images and Initial Matching with a Biomechanical Model
In this paper we describe a robust and efficient procedure to detect skin region with homogeneous color values in monocular indoor images. The mathematical background is a functio...
Jose Maria Buades Rubio, Manuel González Hi...
FLAIRS
2010
13 years 10 months ago
Learning to Identify and Track Imaginary Objects Implied by Gestures
A vision-based machine learner is presented that learns characteristic hand and object movement patterns for using certain objects, and uses this information to recreate the "...
Andreya Piplica, Alexandra Olivier, Allison Petros...