MM

A video surveillance sequence generally contains a lot of scattered information regarding several objects in cluttered scenes. Especially in case of use of digital hand-held cameras, the overall quality is very low due to the unstable motion and the low ...

Reconfigurable arrays of omnidirectional cameras are useful for applications where multiple cameras working together are to be deployed at a short notice. This paper addresses the important issue of calibration of such arrays in terms of the relative ...

This paper describes an application that enables quick reconstruction of interconnected events, sparsely captured by one or more surveillance cameras. Unlike related efforts, our approach does not require indexing, advance knowledge of potential search ...

In this paper, we study the important issues in the design of an efficient wireless visual surveillance system (WISE) in which a continuously moving panning camera is installed to capture real-time status of objects in a monitoring environment. To ...

Remote identification of people is an important capability for security systems. Automatically controlling a pan-tilt-zoom camera is an effective way to collect high resolution video or images of people in an unconstrained environment. Often there will ...

This paper details the architecture of a test-bed under development for secure sharing, capture, distributed processing, and archiving of surveillance data called the Networked Sensor Tapestry (NeST). The test-bed consists of core software modules ...

We address the problem of clustering multimodal group actions in meetings using a two-layer HMM framework. Meetings are structured as sequences of group actions. Our approach aims at creating one cluster for each group action, where the number of group ...

Due to the error-prone properties of sensors, it is important to use multiple low-cost sensors to improve the reliability of query results. However, using multiple sensors to generate the value for a data item can be expensive, especially in wireless ...

Imaging sensors are inherently high bandwidth devices, and applications which store image data often encounter disk or memory limits. Commonly, upon reaching such a limit, storage systems will cease sampling or overwrite existing data in an oldest-first ...

The talk consists of two parts. In the first part, the author will present his view on the most interesting research issues in video surveillance and what new aspects will need to be considered in order to make significant progress in the field. Some of ...

People tracking deals with problems of shape changes, self-occlusions and track occlusions due to other interfering tracks and fixed objects that hide parts of the people shape. These problems are more critical in indoor surveillance and in particular ...

Accurate background modeling is fundamentally important to motion-based segmentation, object tracking, and video surveillance. Models must discriminate between coherent foreground motion and periodic, random, or small pixel variations typically found in ...

Tracking objects that take part in sportive events is a challenging task because the objects move fast and occlusions occur frequently. When the tracked area is large, the use of more than one high resolution cameras improve accuracy, but leads to a ...

This paper presents an adaptive object tracking method that integrates the cues from color likelihood and edge likelihood, and that adapts itself to abrupt appearance changing objects. We use a Bayesian network based multi-modal fusion method of color ...

In this paper, we present an object classification system for digital video surveillance which can be used for an arbitrary camera viewpoint. The system was designed to distinguish humans from vehicles for an arbitrary scene. The system employs a two ...

The problem of automatic recognition of human activities is among the most important and challenging open areas of research in Computer Vision. This paper presents a methodology to automatically recognize the human activities embedded in video sequences ...

Timely information about highway traffic conditions is very important for the Department of Transportation (DOT) and other relevant agencies. Such live information would be very important when traffic incidents or accidents occur. An aerial view is the ...

Fast and accurate segmentation of moving objects in video sequences is a basic task in many computer vision and video analysis applications. It has a critical impact on the performance of object tracking and classification and activity analysis. This ...