Camera Networks
The Acquisition and Analysis of Videos over Wide Areas
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Chapter and Conference Paper
Anatomy-Guided Brain Tumor Segmentation and Classification
In this paper, we consider the problem of fully automatic brain tumor segmentation in multimodal magnetic resonance images. In contrast to applying classification on entire volume data, which requires heavy lo...
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Chapter
Object and Activity Recognition
In the previous chapters, we have looked into the problem of tracking in a camera network. Recognition is the other major challenge in computer vision applications and is the focus of this chapter. Since both ...
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Chapter
Future Research Directions
In the last few chapters, we have discussed the recent developments in the problem of scene understanding from a network of video cameras. We first looked at the problems of wide-area tracking in a network of ...
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Chapter
An Introduction to Camera Networks
Networks of video cameras are being installed in many applications, like surveillance and security, disaster response, and environmental monitoring, among others. Currently, most of the data collected by such ...
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Chapter
Wide-Area Tracking
Tracking in video can be defined as a problem of locating a moving object (or multiple objects) over time based on observations of the object in the images. In other words, the objective of a tracker is to ass...
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Chapter
Distributed Processing in Camera Networks
In many applications, it is desirable that the video analysis tasks be distributed over the network. There may not be enough bandwidth and transmission power available to send all the data to a central station...
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Chapter
Active Sensing
Networks of cameras are rich information sources for many tasks related to security and surveillance, environmental monitoring, disaster response, etc. In such applications, it is often necessary that the came...
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Book
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Chapter
Persistent Observation of Dynamic Scenes in an Active Camera Network
This chapter deals with the problem of persistent observation of a wide area scene through decentralized, cooperative control of an active camera network. We focus on applications where events unfold over a la...
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Chapter
Wide Area Tracking in Single and Multiple Views
Maintaining the stability of tracks on multiple targets in video over extended time periods and wide areas remains a challenging problem. Basic trackers like the Kalman filter or particle filter deteriorate in...
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Chapter
Modeling and Recognition of Complex Human Activities
Activity recognition is a field of computer vision which has shown great progress in the past decade. Starting from simple single person activities, research in activity recognition is moving toward more compl...
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Chapter and Conference Paper
A Stochastic Graph Evolution Framework for Robust Multi-target Tracking
Maintaining the stability of tracks on multiple targets in video over extended time periods remains a challenging problem. A few methods which have recently shown encouraging results in this direction rely on ...
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Article
Erratum: Genoty** of Rhesus SCNT pluripotent stem cell lines
Nature 450, E12–E14, 10.1038/nature06456 (2007) For this BCA, the full Latin binomial for the rhesus macaque is Macaca mulatta.
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Article
Genoty** of Rhesus SCNT pluripotent stem cell lines
Techniques for reprogramming adult cells are much sought after for creating cells to genetically match those of patients. Such embryonic stem cells might be used therapeutically without immune rejection. One r...
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Chapter and Conference Paper
Integrated Tracking and Recognition of Human Activities in Shape Space
Activity recognition consists of two fundamental tasks: tracking the features/objects of interest, and recognizing the activities. In this paper, we show that these two tasks can be integrated within the frame...
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Chapter and Conference Paper
Face Appeal Model Based on Statistics
Human appearance plays an important role in image appeal ranking for efficient management of digital photographs. Considering that face is the most salient character of human beings, we propose a face appeal m...
