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Human's safety in construction areas is vital. A hard hat is required to enter a construction area. Stopping a person who is not wearing a hard hat entering a construction area is very important. Video-based surveillance to detect hard hat is a new solution to this safety problem. This paper brings different video processing techniques together to construct a framework for fast and robust hard hat...
The detection and tracking of faces and facial features in video sequences is a fundamental and challenging problem in computer vision. This research area has many applications in face identification systems, model-based coding, gaze detection, human-computer interaction, teleconferencing, etc. This work presents a real time system for detection and tracking of facial features in video sequences....
This paper proposes a framework to track faces in color video sequences. The Adaptive Support Vector Tracker (ASVT) combines face detection with target tracking through using an adaptive filter in unconstrained videos. The adjacent locations of the target point are predicted in a search window reducing the number of image regions that are candidates for faces. Thus, the method can predict the object...
Given a video sequence containing face candidates, detecting faces is a challenging problem, which can be attributed to the difficulty in handling the appearance variability of the face. Based on skin color segmentation combined with the saliency model, a novel method is proposed to detect human faces in videos. Firstly, a skin color model in the YCbCr chrominance space is built to segment skin-color...
We presents a color and heuristic-based face detection algorithm in order to detect faces in H.264/AVC compressed domain. Face detector is composed of preprocessing, selecting face candidate and face authentication. Firstly, video capturing conditions are removed by the modified Successive Mean Quantization Transform (m-SMQT). Secondly, face candidates are run by using skin color image segmentation,...
In this paper, a vision system for monitoring driver's vigilance is presented. The level of vigilance is determined by integrating a number of facial parameters. In order to estimate these parameters, the facial features of eyes, mouth and head are first located in the input video sequence. The located facial features are then tracked over the subsequent images. Facial parameters are estimated during...
In recent years, the research on detecting human faces in color image and in video sequence has been attracted with more and more people, but automatic human face detection from images in surveillance and biométrie applications is still a challenging task due to the computation inaccuracies and the continuous nature of some transformations. In this paper we propose a novel face detection algorithms...
This article mentioned an integral projection algorithm basing on narrowing region, and this algorithm can focus face characters from video picture sequence, so it supplies precision guarantee for face pose estimate. This article realized face pose estimate based on face ellipse circle and feature points. The basic thought is that establish the mapping relationship between position parameters and...
A fusion algorithm based on skin color model and optical flow is proposed to detect and track faces. It uses skin color model to detect faces and adopts optical flow algorithm to estimate the continuity of the video frames and obtain the position of faces in the frames. Taking advantages of the algorithms, the proposed method, in some degrees, gives a solution to the effects of face rotation, partial...
This work presents a robust technique for tracking a set of detected points on a human face. Facial features can be manually selected or automatically detected. We present a simple and efficient method for detecting facial features such as eyes and nose in a color face image. We then introduce a tracking method which, by employing geometric constraints based on knowledge about the configuration of...
A system for parallel face detection, tracking and recognition in real-time video sequences is being developed. The paper describes its particle filtering based face recognition module, which operates on low quality video sequences and utilizes the results of the preceding phases of face detection and tracking. The temporal information from video sequence is utilized for the purpose of object tracking...
In this paper we present a novel methodology for detection and tracking of facial features like eyes, nose and mouth in image sequences. The proposed methodology is intended to support natural interaction with autonomously navigating robots that guide visitors in museums and exhibition centers and, more specifically, to provide input for the analysis of facial expressions that humans utilize while...
As a new field of information technology, biometrics recognition consists of the recognition of face, iris, retina, pronunciation etc. In recent years, Static face detection algorithms concerning the categories of detection technology have been raised, but these algorithms put their focus on the detection of clear face. The research of detection on partially occluded face has not yet been conducted...
The following topics are dealt with: image coding; medical image processing; image reconstruction; image segmentation; image retrieval; image color analysis; image resolution; image motion analysis; face recognition; image sequences; and edge detection.
An automatic face detection and tracking based on Hinfin filter is presented in this paper. The proposed system is used to track and predict the location of a moving person's face in different background. To overcome the lack of a prior knowledge of the system model and the noise statistic, face is tracked using the prediction values generated by Hinfin which minimizes the worst case estimation error...
Face detection and tracking, through image sequences, are primary steps in many applications such as video surveillance, human computer interface, and expression analysis. Many currently existing techniques donpsilat perform well due to pose variations, appearance changes, illumination changes, complex backgrounds, and inaccurate initialization. The last short coming, which is the difficulty to initialize...
This paper proposed a robust and real-time face tracking method using particle filter based on skin color model and facial contour. Particle filter is an excellent tracking algorithm that can resolve no-linear and no-Gaussian problems. Skin color is used as an important cue since it is robust to various face poses and face rotations. A skin color model is constructed in YCbCr color space which is...
A system for parallel face detection, tracking and recognition in real-time video sequences is being developed. The paper describes its face detection and tracking modules. The solution is based on the particle filtering in the conditional density propagation framework of Isard and Blake and utilizes color information at different levels of detail. The use of color makes processing computationally...
In this article we present a novel multimodal gender recognition system, which successfully integrates the head and mouth motion information with facial appearance by taking advantage of a unified probabilistic framework. In fact, we develop a temporal subsystem that has an extended feature space consisting of parameters related to head and mouth motion; at the same time, we introduce a complementary...
Visual tracking, in essence, deals with non-stationary data streams that change over time. While most existing algorithms are able to track objects well in controlled environments, they usually fail if there is a significant change in object appearance or surrounding illumination. The reason is that these visual tracking algorithms operate on the premise that the models of the objects being tracked...
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