Analysis of Human Identification based on Soft Biometrics in Video Surveillance System
نویسندگان
چکیده
Biometrics was divided into traditional biometrics and soft biometrics. Traditional biometrics is a method using information on face, iris, and fingerprint. Soft biometrics is a method using information on gender, ethnicity, height, and so on. Recently, many researchers have been researched human identification using soft biometrics in long distance environment. In this paper, we analyze human identification with applying traditional biometrics or soft biometrics suitable for video surveillance system. Also, we propose framework to solve problems such as lighting, occlusion and shadow.
منابع مشابه
Framework of Human Identification using Multi-Modal Biometrics
Biometrics has been used to verify intrusion and identification of intruder in video surveillance system. Biometrics was divided into traditional biometrics and soft biometrics. Traditional biometrics is a method using information on face, iris, and fingerprint. Soft biometrics is a method using information on gender, ethnicity, and height. Recently, many researchers have been researched human ...
متن کاملA Survey and Proposed Framework on the Soft Biometrics Technique for Human Identification in Intelligent Video Surveillance System
Biometrics verification can be efficiently used for intrusion detection and intruder identification in video surveillance systems. Biometrics techniques can be largely divided into traditional and the so-called soft biometrics. Whereas traditional biometrics deals with physical characteristics such as face features, eye iris, and fingerprints, soft biometrics is concerned with such information ...
متن کاملSoft Biometric Recognition from Comparative Crowdsourced Annotations
Soft biometrics provide cues that enable human identification from low quality video surveillance footage. This paper discusses a new crowdsourced dataset, collecting comparative soft biometric annotations from a rich set of human annotators. We now include gender as a comparative trait, and find comparative labels are more objective and obtain more accurate measurements than previous categoric...
متن کاملAutomated person categorization for video surveillance using soft biometrics
We present a prototype video tracking and person categorization system that uses face and person soft biometric features to tag people while tracking them in multiple camera views. Our approach takes advantage of temporal aspect of video by extracting and accumulating feasible soft biometric features for each person in every frame to build a dynamic soft biometric feature list for each tracked ...
متن کاملComparative Face Soft Biometrics for Human Identification
The recent growth in CCTV systems and the challenges of automatically identifying humans under the adverse visual conditions of surveillance have increased the interest in soft biometrics, which are physical attributes that can be used to describe people semantically. Soft biometrics enable human identification based on verbal descriptions, and they can be captured in conditions where it is imp...
متن کامل