PurposeDevelop an integrated, computer vision-based system to operate a commercial wheelchair-mounted robotic manipulator (WMRM). In addition, a gesture recognition interface system was developed specially for individuals with upper-level spinal cord injuries (SCIs) including object tracking and face recognition to function as an efficient, hands-free WMRM controller. Design/Methodology/Approac...

Automatic skin detection is a component of various imaging applications, such as face detection and tracking, content categorization, image enhancement, adaptive compression, etc. Colour-based methods have proven to be well suited for this task, but generally suffer from a type of false detection which adversely influences the aforementioned tasks, namely the confident detection of hair regions...

Facial expression provides sensitive cues about emotion and plays a major role in interpersonal and humancomputer interaction. Most facial expression recognition systems have focused on only six basic emotions and their concomitant prototypic expressions posed by a small set of subjects. In reality, humans are capable of producing thousands of expressions that vary in complexity, intensity, and...

Skin color is a simple but powerful pixel based feature. Skin color has proven to be a useful and sturdy cue for face detection, localization and tracking, hand detection, etc. Skin color is a useful means for human face detection. In this paper, we propose two color spaces YCbCr and CIELab and compare the results of both color space. Analyze the efficient method for skin color segmentation und...

In visual surveillance face detection can be an important cue for initializing tracking algorithms. Recent work in psychophics hints at the importance of the local context of a face for robust detection, such as head contours and torso. This paper describes a detector that actively utilizes the idea of local context. The promise is to gain robustness that goes beyond the capabilities of traditi...

Visual processing of people, including detection, tracking, recognition, and behavior interpretation, is a key component of intelligent video surveillance systems. Computer vision algorithms with the capability of “looking at people” at multiple scales can be applied in different surveillance scenarios, such as far-field people detection for wide-area perimeter protection, midfield people detec...

A hybrid real-time face tracker based on both sound and visual cues is presented. Initial talker locations are estimated acoustically from microphone array data while precise local-ization and tracking are derived from image information. A computationally eecient algorithm for face detection via motion analysis is employed to track individual faces at rates up to 30 frames per second. The syste...

Face detection algorithms have various applications like recognition, expression analysis or video conferencing. Nonetheless, most existing algorithms require additional a−priori knowledge or time−consuming preprocessing steps. In this paper, a model−free feature based approach for face detection and tracking is presented. Possible skin clusters are defined based on one of three different color...

Human faces are commonly found in video streams and provide useful information for video content analysis. This paper presents a robust face tracking system to extract multiple face sequences from MPEG video without human intervention. Specifically, a view-based DCT-domain face detection algorithm is first applied periodically to capture mostly frontal and slight slanting faces of variable size...