Titlebook: Wide Area Surveillance; Real-time Motion Det Vijayan K. Asari Book 2014 Springer-Verlag Berlin Heidelberg 2014 Activity Monitoring.Airborne

哀悼

An Overview of Distributed Tracking and Control in Camera Networks,mes are being chosen over centralized schemes in various applications nowadays. This chapter provides a comprehensive overview of state-of-the-art distributed tracking and control strategies using a camera network and identifies the main directions of future work.

JAMB

Book 2014ew, detect and track objects, and study object behavior. These set of models provide a robust framework for coordinating the tracking of objects between overlapping and non-overlapping cameras, and recording the activity of objects detected by the system.

HEW

GNAT

Moving Cast Shadows Detection Methods for Video Surveillance Applications,ound subtraction context). Shadows can in fact modify in a negative way the shape and color of the target object and therefore affect the performance of scene analysis and interpretation in many applications. This chapter wills mainly reviews shadow detection methods as well as their taxonomies rela

卜聞

傲慢人

Event Based Switched Dynamic Bayesian Networks for Autonomous Cognitive Crowd Monitoring,ched E-DBNs can be used to represent and anticipate possible operators’ actions within the IVS. In this sense acquired knowledge can be used for either fully autonomous security preserving systems or for training of new operators. Results are shown by considering a crowd monitoring application in a

tolerance

Unified Face Representation for Individual Recognition in Surveillance Videos,formation from different cameras. Face super-resolution can also be achieved, if desired. We use SIFT flow as a high level alignment tool to warp the faces. Experimental results show that by using the unified face image representation, the recognition performance is better than the result of any sin

JIBE

繼而發(fā)生

Automatic Target Recognition in Multispectral and Hyperspectral Imagery Via Joint Transform Correla technique is also applied to the discrete wavelet transform (DWT) coefficients of the multispectral and HSI data in order to improve the detection performance, especially in the presence of noise or spectral variability. Detection results in the form of receiver-operating-characteristic (ROC) curve

annexation

Ariel Amato,Ivan Huerta,Mikhail G. Mozerov,F. Xavier Roca,Jordi Gonzàlez