Results 1 - 10 of 124

Real-Time Head Tracking Based on Color and Shape Information

by Dong-gil Jeong, Yu Kyung Yang, Dong-goo Kang, Jong Beom Ra
"... In this paper, we propose a robust real-time head tracking algorithm using a pan-tilt-zoom camera. We first assume that the shape of a head is an ellipse and a model color histogram is acquired in advance. Then, in the first frame, the appropriate position and scale of the head is determined based o ..."
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In this paper, we propose a robust real-time head tracking algorithm using a pan-tilt-zoom camera. We first assume that the shape of a head is an ellipse and a model color histogram is acquired in advance. Then, in the first frame, the appropriate position and scale of the head is determined based

Object Tracking Using Adaptive Object Color Modeling

by unknown authors
"... Abstract: This paper presents an object tracking method based on the object and background color. A three dimensional feature vector is used to describe color feature (R, G, B) of each pixel. A quantized histogram of that feature value of pixels on the selected object and a quantized histogram of pi ..."
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Abstract: This paper presents an object tracking method based on the object and background color. A three dimensional feature vector is used to describe color feature (R, G, B) of each pixel. A quantized histogram of that feature value of pixels on the selected object and a quantized histogram

Visual Tracking with Histograms and Articulating Blocks

by S M Shahed Nejhum
"... We propose an algorithm for accurate tracking of (articulated) objects using online update of appearance and shape. The challenge here is to model foreground appearance with histograms in a way that is both efficient and accurate. In this algorithm, the constantly changing foreground shape is modele ..."
Abstract - Cited by 25 (1 self) - Add to MetaCart
We propose an algorithm for accurate tracking of (articulated) objects using online update of appearance and shape. The challenge here is to model foreground appearance with histograms in a way that is both efficient and accurate. In this algorithm, the constantly changing foreground shape

Spatial Color Indexing and Applications

by Jing Huang, S. Ravi Kumar, Mandar Mitra, Wei-jing Zhu, Ramin Zabih , 1999
"... We define a new image feature called the color correlogram and use it for image indexing and comparison. This feature distills the spatial correlation of colors and when computed efficiently, turns out to be both effective and inexpensive for content-based image retrieval. The correlogram is robust ..."
Abstract - Cited by 94 (3 self) - Add to MetaCart
problems arising from image retrieval and video browsing. We adapt the correlogram to handle the problems of image subregion querying, object localization, object tracking, and cut detection. Experimental results again suggest that the color correlogram is more effective than the histogram

Integrating shape and color features for adaptive real-time object tracking

by Junqiu Wang, Yasushi Yagi - Proc. International Conference on Robotics and Biometrics , 2006
"... Abstract — We extend the standard mean shift tracking algorithm to an adaptive tracker by selecting reliable features from color and shape cues. The standard mean shift algorithm assumes that the representation of tracking targets is always sufficiently discriminative enough against background. Most ..."
Abstract - Cited by 7 (5 self) - Add to MetaCart
Abstract — We extend the standard mean shift tracking algorithm to an adaptive tracker by selecting reliable features from color and shape cues. The standard mean shift algorithm assumes that the representation of tracking targets is always sufficiently discriminative enough against background

Anew Adaptive Approach for Histogram based Mouth Segmentation

by Axel Panning, Robert Niese, Ayoub Al-hamadi, Bernd Michaelis, I. Inroduction
"... Abstract—The segmentation of mouth and lips is a fundamental problem in facial image analyisis. In this paper we propose a method for lip segmentation based on rg-color histogram. Statistical analysis shows, using the rg-color-space is optimal for this purpose of a pure color based segmentation. Ini ..."
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Abstract—The segmentation of mouth and lips is a fundamental problem in facial image analyisis. In this paper we propose a method for lip segmentation based on rg-color histogram. Statistical analysis shows, using the rg-color-space is optimal for this purpose of a pure color based segmentation

Contour-Based Object Tracking with Occlusion Handling in Video Acquired Using Mobile Cameras

by Alper Yilmaz, Mubarak Shah - IEEE Transactions on Pattern Analysis and Machine Intelligence , 2004
"... Abstract—We propose a tracking method which tracks the complete object regions, adapts to changing visual features, and handles occlusions. Tracking is achieved by evolving the contour from frame to frame by minimizing some energy functional evaluated in the contour vicinity defined by a band. Our a ..."
Abstract - Cited by 88 (6 self) - Add to MetaCart
approach has two major components related to the visual features and the object shape. Visual features (color, texture) are modeled by semiparametric models and are fused using independent opinion polling. Shape priors consist of shape level sets and are used to recover the missing object regions during

18 Tracking of Facial Regions Using Active Shape Models and Adaptive Skin Color Modeling

by Bogdan Kwolek
"... It is widely accepted that skin-color is an effective and robust cue for face detection, ..."
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It is widely accepted that skin-color is an effective and robust cue for face detection,

iIntegrating Color and Shape-Texture Features for Adaptive Real-time Object Tracking

by Junqiu Wang, Yasushi Yagi
"... Abstract—We extend the standard mean-shift tracking algorithm to an adaptive tracker by selecting reliable features from color and shape-texture cues according to their descriptive ability. The target model is updated according to the similarity between the initial and current models, and this makes ..."
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Abstract—We extend the standard mean-shift tracking algorithm to an adaptive tracker by selecting reliable features from color and shape-texture cues according to their descriptive ability. The target model is updated according to the similarity between the initial and current models

BASIS OF EIGENFACES FOR TRACKING OF HUMAN HEAD

by Ján Mihalík, Miroslav Kasár
"... The paper deals with the construction of the basis of eigenfaces from a training set of face images using the wireframe 3D model Candide of the human head. The wireframe 3D model is adapted to the face images from the training set, because in general they are obtained from different sources. Afterwa ..."
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the basis of eigenfaces is obtained. Finally the basis of eigenfaces combined with an algorithm of adapting of 3D model is applied on tracking of the human head in head-andshoulder videosequence. K e y w o r d s: eigenfaces, 3D model, Candide, texture, shape, principal component analysis, tracking system 1
Results 1 - 10 of 124