Abstract
Visual surveillance is the latest paradigm for social security through machine intelligence. It includes the use of visual data captured by infrared sensors or visible-light cameras mounted in cars, corridors, traffic signals etc. Visual surveillance facilitates the classification of human behavior, crowd activity, and gesture analysis to achieve application-specific objectives.
Highlights
Visual surveillance is the latest paradigm for social security through machine intelligence
Visual surveillance facilitates the classification of human behavior, crowd activity, and gesture analysis to achieve application-specific objectives
Various research efforts have been devoted to merge these two technologies, especially for adverse and covert scenarios. This Special Section, ‘‘Visual Surveillance and Biometrics: Practices, Challenges, and Possibilities,’’ serves as a cross-platform to cover the recent advances at the intersection of ‘visual surveillance’ and ‘biometrics.’ It contains 20 cutting-edge research articles by leading researchers from more than fifteen countries, discussing the current challenges and possible solutions in both fields
Summary
Visual surveillance is the latest paradigm for social security through machine intelligence. IEEE ACCESS SPECIAL SECTION EDITORIAL: VISUAL SURVEILLANCE AND BIOMETRICS: PRACTICES, CHALLENGES, AND POSSIBILITIES Some solutions developed for visual surveillance systems have been applied for biometric identification.
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