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» Using Histograms to Detect and Track Objects in Color Video
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FGR
2000
IEEE
158views Biometrics» more  FGR 2000»
13 years 9 months ago
Robust Face Tracking Using Color
In this paper we discuss a new robust tracking technique applied to histograms of intensity normalized color. This technique supports a video codec based on orthonormal basis codi...
Karl Schwerdt, James L. Crowley
PCM
2001
Springer
145views Multimedia» more  PCM 2001»
13 years 9 months ago
Color Content Matching of MPEG-4 Video Objects
Abstract. Color histogram is one of the most widely used visual feature representations in content-based retrieval. When processing the image/video data in the JPEG/MPEG compressed...
Berna Erol, Faouzi Kossentini
ACCV
2007
Springer
13 years 9 months ago
Motion Observability Analysis of the Simplified Color Correlogram for Visual Tracking
Abstract. Compared with the color histogram, where the position information of each pixel is ignored, a simplified color correlogram (SCC) representation encodes the spatial inform...
Qi Zhao, Hai Tao
ICIP
2001
IEEE
14 years 6 months ago
Metrics for performance evaluation of video object segmentation and tracking without ground-truth
We present metrics to evaluate the performance of video object segmentation and tracking methods quantitatively when groundtruth segmentation maps are not available. The proposed ...
Çigdem Eroglu Erdem, Bülent Sankur, A....
ICPR
2000
IEEE
13 years 9 months ago
Skin Detection in Video under Changing Illumination Conditions
Techniques for color-based tracking of faces or hands often assume a static skin color model. However, skin color perceived by a camera can change when lighting changes. In common...
Maricor Soriano, Birgitta Martinkauppi, Sami Huovi...