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In this paper we present a novel silhouette-based method to estimate 2D human pose. It takes a pre-defined human skeleton model as the prior information and a video sequence as the data source, and estimates human pose in each frame by the following steps: Firstly, the Gaussian Mixture Background Model (GMM) is adopted to extract silhouette from an image and this silhouette will be the human body...
This paper presents approach for an automated surveillance system which performs human detection and tracking across multiple non-overlapping cameras. Emphasis is put at single camera level where motion based segmentation is achieved using optical flow estimation. Feature matching and region-based shape descriptors are used for tracking. The proposed approach then extends feature and region-based...
We present in this paper a human detection system for the analysis of video sequences. We perform first a foreground detection with a Gaussian background model. A tracking step based on connected components analysis combined with feature points tracking allows to collect information on 2D displacements of moving objects in the image plane and so to improve the performance of our classifier. A classification...
This paper presents a novel method for fast and quantified estimation of blocking artifacts for H.264 videos. Based on physiological characteristics of the human visual system (HVS), the proposed method takes into account the temporal blocky distortion between two successive frames and is well adapted to the videos in which the in-loop deblocking filter is applied. Furthermore, the proposed method...
This paper presents a fully automated system for realtime 3D human visual hull reconstruction and skeleton voxels extraction. The main contributions include: (1) A novel network based system is presented, which uses AXIS network cameras as video capture device, and performs a parallel processing among data capture, 3D voxel reconstruction and display. (2) A new human visual hull reconstruction algorithm...
Motion Capture has been widely used in many fields such as animation and game production. This paper describes the scheme and implementation of a self-designed vision-based motion capture system. This system is set up based on a Client/Server network structure. The client software tracks every marker attached to the actor's body and sends the results to the server in real-time. The server software...
Tracking 3d pose of a known object is one of the most important problems in computer vision. This paper proposes an appearance-based approach to this problem by combining the sparse template matching and the particle filter. Although the combination of them has already been discussed for 2d tracker, it has not been applied for efficient 3d tracking. This paper discusses an appearance-based tracker...
A model for studying the impacts caused by emotions of individual agents in a crowd is presented, the model is based on the crowd model proposed by helbing, every agent can have emotion and motivation attributes, the behaviors of different agents are set up by a function with individual parameters. The method of an individual's joining a crowd is proposed, and reactive mechanism between crowds is...
Aimed at the application requirements of content-based image retrieval technology on the Internet, firstly, some key techniques and application ways are researched, then the principles and methods how to reduce the ??gap?? between low-level visual features and high-level semantic description of image are analyzed for improving the efficiency and precision of image retrieval. At last, taken several...
This paper investigates a simple human motion capture method that estimates the human body's representative points by using analysis of the human silhouette extracted from the camera image. The estimation method utilizes both the heuristic extraction rules of the representative points using a priori knowledge of human body and the contour analysis of the human silhouette. The 2D coordinates of the...
3D face data have been increased recently with the development of 3D data acquisition technology. 3D face has extensive applications. A proper coordinate system defined on faces is sometimes necessary. However, building a canonical coordinate system for all the 3D faces presenting the physiological vertical direction of human face is still an open question. In this paper, we propose a new 3D face...
We address the issue of markless human motion capture by voxel labeling. We explore the problem of pose estimation from voxel cloud based on a predefined human model. First, voxels are labeled into different individual parts of the body. Then, the joints are extracted from labeled voxels. Finally, the joint angles are estimated from the joints. Tested on the voxel data in our experiments, our algorithm...
Motion planning for virtual human upper body including torso and arm received continuous interest in computer graphics community in the past year. Though a variety of motion planning approaches have been proposed to address the problem of 7 DOF (degrees of freedom) arm manipulation, planning the motion of entire upper body chain for general manipulation task is remained unresolved as there is no explicit...
A quality prediction model for images coded with JPEG is proposed in this paper. This model estimates the quality of an image at a given compressed ratio based on the structural similarity theory, without actual coding of the image. As different frequencies play various roles in human vision, the frequency sensitivity-based structural similarity model is introduced in this paper. The proposed model...
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