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Current virtual game interfaces can't comprehend our metaphor, can't reflect on our natural behavior aspect, can't make us immerse into a game, and makes a barrier between virtual game space and our real behavior. It is very challenging issue to use real objects tightly related to human-being's behaviors or reactions for interacting with game applications. Interactive AR interfaces may augment users'...
Object tracking in video sequences has been extensively studied in computer vision. Although promising results have been achieved, often the proposed solutions are tailored for particular objects, structured to specific conditions or constrained by tight guidelines. In real cases it is difficult to recognize these situations automatically because a large number of parameters must be tuned. Factors...
This paper addresses the problem of people group tracking in presence of occlusion as people form groups, interact within groups or leave groups. Foreground objects (a person or a group of people) from two consecutive frames are matched based on appearance (RGB histogram) and object location (2D region) similarity. While tracking, this method determines and handles some events such as objects merging...
Data Matrix barcode is one of the most extensively used 2D barcodes. During the flow process of Data Matrix barcode decoding, barcode localization is the first and non-trivial step for the latter steps, like affine transformation adjustment, fine-level foreground region extraction etc. In this paper, an innovative method for Data Matrix barcode localization based on boundary tracking and Radon transform...
As urban road intersections are prone to traffic congestion and traffic accidents, monitoring the crossing of vehicles and predicting the state is needed to reduce traffic congestion, regulate driver behavior and prevent accidents. Background subtraction and mean shift tracking are used to track vehicles. The whole monitoring process is as following. Firstly, secondary selected strategy is used to...
Within a surveillance video, occlusions are commonplace, and accurately resolving these occlusions is key when seeking to accurately track objects. The challenge of accurately segmenting objects is further complicated by the fact that within many real-world surveillance environments, the objects appear very similar. For example, footage of pedestrians in a city environment will consist of many people...
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,...
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