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Skin color is one of most important source of information widely used in Human-Computer Interaction (HCI) system where detecting the presence of the human plays a key role. It is because of the dynamics and articulations of human body which is hard to be captured rather than using primitive feature like skin color. However, skin color varies across different persons limiting us from building a generative...
This paper introduces a hand tracking system in unconstrained environment. The system consists of two main stages which are initialization and tracking. In initialization, hand region is first detected by combining motion and skin color pixels. A region of interest (ROI) is then created around the detected hand region. In tracking stage, skin and motion pixels are scanned around top, left and right...
In this paper we propose multiple cameras using real time tracking for surveillance and security system. It is extensively used in the research field of computer vision applications, like that video surveillance, authentication systems, robotics, pre-stage of MPEG4 image compression and user inter faces by gestures. The key components of tracking for surveillance system are extracting the feature,...
This paper presents a method of recovering digital ink for an intelligent camera pen, which is characterized by the functions that (1) it works on ordinary paper and (2) if an electronic document is printed on the paper the recovered digital ink is associated with the document. Two technologies called paper fingerprint and document image retrieval are integrated for realizing the above functions....
Optical flow methods, such as Lucas-Kanade and Horn-Schunck algorithms, are popular in motion estimation. However, they fall short on accuracy when they are applied to blurred videos. Some people utilize hybrid camera system to get a low resolution image to suppress the blurring effect so that more accurate optical flow for blurred high resolution image can be further derived, though in most of the...
The strategy of automatic sun-tracking control system based on CPV generation is introduced. The system can work in poor environment for a long time. CPV generation will work high effectively when light panel trace the sun accurately. We use stepper tracking control technology which rely on control circuit with ARM and camera which can provide powerful computational capability and precise calibration...
The block motion estimation technique is adopted by various video coding standards to reduce the temporal redundancy in video sequences. Video frames are often dropped during compression at very low bit rates. At the decoder, a missing frame interpolation method synthesizes the missed frames. We proposed two step motion estimation methods for interpolation, a framework for detecting and utilizing...
Model-based camera tracking methods basically require visual cues to be as correctly tracked as possible. However, the requirement is not likely to be satisfied in uncontrolled real environments. Incorrectly tracked visual cues are the main cause of jitter which annoys users in augmented reality. Therefore, we propose a jitter suppression method that guesses the magnitude of camera motion based on...
We propose a new object similarity measure, which can boost the performance of the mean-shift based algorithms for robust object tracking. The proposed scheme can better discriminate between different objects, compared to the commonly used measure based on Bhattacharyya coefficient optimization. The improvement is particularly noticeable when the probability distribution function of the tracked object...
A signature verification system based on video is proposed in this paper.The signature information is obtained from video of camera which is different from traditional online or offline method.First,we set the camera in upper front of the white written paper,so that we can get the signatures have the most identifiability for human recognition. We locate the pen tip position using a contour-based method...
In this paper, we focus on the hand tacking with a combinatorial restrained optical flow algorithm instead of the feature point. The movement region of hand is segmented and then searched for the target. A new template is used for hand target recognition on the segmented regions for detecting the ROI. Then optical flow is used to initialize step sizes in a stochastic optimization setting for hand...
Tracking multiple objects in surveillance scenarios involves considerable difficulty because of occlusions. We report a novel tracker - based on reliability tracking - that demonstrates superior performance under high degrees of occlusion. In our method, distinguishable features between the target and non-target are represented as the object's reliability. When the selected features are no longer...
Object tracking based on color feature often fails in a complex background. To deal with this problem, a particle filtering object tracking approach is proposed in this paper based on local binary pattern and color feature. Color histogram is the global description of targets in color image, while local binary pattern texture contains information of neighbor region texture in gray image. These two...
This paper presents a novel framework for activities perception in video surveillance scenarios. Firstly, moving objects are detected by modeling the background using Gaussian Mixture Model (GMM). Secondly, a novel adaptive particle filter (APF) is introduced. The proposed APF has time-varying dimensions and can track multiple moving objects entering or leaving the field of view effectively. Finally,...
Table-tennis umpiring presents many challenges where technology can be judiciously applied to enhance decision-making, especially in the service facet of the game. This paper presents a system to automatically detect and track the ball during table-tennis services to enable precise judgment over their legitimacy. The system comprises a suite of algorithms that adaptively exploit spatial and temporal...
In order to resolve the poor performance of color-based tracker for the fast rotating object in low-resolution vision, the search region of the tracker needs enlarging to a great extent, and the tracking loop requires setting to several times in very frame. Moreover, the states of the tracked object in high-resolution vision can be estimated from its incomplete observations in low-resolution vision...
With the rapid development of computer vision and intelligent recognition, real-time alarm analysis of surveillance system has become possible. In this paper, a system for the detection of object entering into prohibited area in surveillance video is designed based on the moving object detection and tracking technology. For motion detection, the Gaussian Mixture Model with background segmentation...
We present a new solution for real-time head pose estimation. The key to our method is a model-based approach based on the fusion of color and time-of-flight depth data. Our method has several advantages over existing head-pose estimation solutions. It requires no initial setup or knowledge of a pre-built model or training data. The use of additional depth data leads to a robust solution, while maintaining...
In this paper, we propose a face track algorithm to determine the presence and location of faces of sizes more than 15 × 15 pixels in all frames of QCIF video sequences encoded by H.264/AVC. The proposed system composes of detection and tracking algorithms that all perform in H.264/AVC JM15.0 Encoder. The location of multiple frontal and non-frontal faces in compressed video sequences could be detected...
Aiming at the difficulties of detecting and tracking ground targets, it puts forward a universal detecting and tracking algorithm of ground target based on the analysis and comparison of current detecting and tracking algorithms. Firstly it adopts inter-frame differencing algorithm and morphological filter algorithm to detect the potential targets. Then calculate the accurate position of targets based...
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