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Pedestrian detection under changing environment is very challenging, especially with pedestrians approaching suddenly. This paper proposes a novel pedestrian detection algorithm using a unique combination of Discrete Cosine Transform based Haar Cascade Detector (DHCD) along with Single bounding box convergence using Skin color segmentation, to detect a single pedestrian. Discrete Cosine Transform...
This paper presents a real-time computer visionbased Bengali Sign Language (BdSL) recognition system. The system detects the probable hand from the captured image. The system uses Haar-like feature-based cascaded classifiers to detect the hand in each frame. From the detected hand area, the system extracts the hand sign based on Hue and Saturation value corresponding to human skin color. After normalization...
This paper has proposed an improved algorithm of face detction by the combination of the respective characteristics of Adaboost algorithm and the skin color segmentation algorithm. Face candidate regions were first obtained by the means of skin color detection, which were then input as the trained Adaboost cascade classifier to get accurate and quick face location. Also, in this paper the strategy...
This paper presents an improved hand tracking system using pixel-based hierarchical-feature AdaBoosting (PBHFA), skin color segmentation, and codebook (CB) background cancelation. The proposed PBH feature significantly reduces the training time by a factor of at least 1440 compared to the traditional Haar-like feature. Moreover, lower computation and high tracking accuracy are also provided simultaneously...
Face detection is one of the challenging problems in image processing. A novel face detection system is presented in this paper and we propose a new approach using Takagi-Sugeno (T-S) fuzzy model and Hue Saturation and Value (HSV) color model. The algorithm uses fuzzy classifier in conjunction with HSV color model to quickly locate faces in the image. The fuzzy classifier basically examines small...
Human brain can detect faces from the images constructed in their eyes. The face detection is a computerize method of locating the face in the digital image. It is an important challenge to locate faces from uncontrolled and indistinguishable background of the digital image. This paper presents human face detection from the colored images. Skin color segmentation is used for localizations of skin...
This paper describes a new method for skin detection based on RGB vector space. Skin color has proven to be a useful cue for pre-process of face detection, localization and tracking. Image content filtering, content aware video compression and image color balancing applications can also benefit from automatic detection of skin in images. Numerous works for skin color segmentation and detection have...
This paper proposes an improved version of our previously introduced face detection system based on skin color segmentation and neural networks. The new system uses a support vector machine (SVM) based method for verification.
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