We present in this paper a fully automatic content-based approach to organizing and indexing video data. Our methodology involves three steps: Step 1: We segment each video into shots using a Camera-Tracking technique. This process also extracts the feature vector for each shot, which consists of two statistical variances V ar and V ar. These values capture how much things are changing in the b...

Knowing consumers’ shopping paths is an essential part of successful retailing. Good space management requires accurate data about consumer behavior. Traditionally, these data have been collected through, for example, panel interviews, camera tracking, and in-store observation. Their nature is more or less subjective. Modern technology makes it possible to use more objective methods, such as wi...

We propose to exploit “projective indices” to compare camera tracking methods for augmented reality (AR) and mixed reality (MR). Projective indices are calculated by projection error of virtual points that are placed in the scene. The number of virtual points, their positions, and how to calculate the indices are important to compare different camera tracking methods as these parameters largely...

Today video surveillance systems are widely used in public spaces, such as train stations or airports, to enhance security. In order to observe large and complex facilities a huge amount of cameras is required. These create a massive amount of data to be analyzed. It is therefore crucial to support human security staff with automatic surveillance applications, which will create an alert if secu...

Human reidentification is to match persons observed in nonoverlapping camera views with visual features for inter-camera tracking. The ambiguity increases with the number of candidates to be distinguished. Simple temporal reasoning can simplify the problem by pruning the candidate set to be matched. Existing approaches adopt a fixed metric for matching all the subjects. Our approach is motivate...

In a realtime interactive work for live performer and computer, the immanently human musical expression of the live performer is not easily equalled by algorithmically generated artificial expression in the computer sound. In cases when we expect the computer to display interactivity in the context of improvisation, pre-programmed emulations of expressivity in the computer are often no match fo...

This paper describes an efficient and reliable method for real time camera tracking. Our algorithm makes use of a multi-planar model of the scene to achieve fast and accurate registration. In this paper, we also propose an automatic method for recovering the multi-planar structure of the scene directly from the homographies induced by the planes in the images. Results are presented, demonstrati...

Handover is one of the most important factors that may degrade the performance of TCP connections and real-time applications in wireless data networks. We developed a loss-free handover scheme called LPM (Last Packet Marking) for IEEE 802.16e-based broadband wireless access networks. By integrating MAC and network layer handovers efficiently, LPM minimizes the handover delay and eliminates pack...

This paper describes an optical flow-based person tracking method using multiple cameras in indoor environments. There are usually several objects in indoor environments which may obstruct a camera view. If we use only one camera, tracking may fail when the target person is occluded by other objects. This problem can be solved by using multiple cameras. In our method, each camera tracks the tar...

We describe a virtualized reality model-based benchmarking of camera tracking methods for augmented reality and mixed reality. Benchmark datasets created with virtualized reality models do not include any measurement errors, and can be effectively used for a benchmark of tracking methods [5][6]. But there are many issues to be discussed for creators and users of the datasets. For the creators, ...