In this work we seek to provide insight on the general topic of soft biometrics. We firstly
present a new refined definition of soft biometrics, emphasizing on the aspect of human …

Biometrics is the science of automatically recognizing people based on physical or
behavioral characteristics such as face, fingerprint, iris, hand, voice, gait, and signature …

Face attribute estimation has many potential applications in video surveillance, face
retrieval, and social media. While a number of methods have been proposed for face …

Recent research has explored the possibility of extracting ancillary information from primary
biometric traits viz., face, fingerprints, hand geometry, and iris. This ancillary information …

Soft biometric information extracted from a human body (eg, height, gender, skin color, hair
color, and so on) is ancillary information easily distinguished at a distance but it is not fully …

Innovation has formed much of the rich history in biometrics. The field of soft biometrics was
originally aimed to augment the recognition process by fusion of metrics that were sufficient …

Weight is a biometric trait which has been already studied in both the forensic and medical
domains. In many practical situations, such as videosurveillance, weight can provide useful …

Detecting pedestrians in a crowded scene in real time is a challenging task in monitoring
and managing crowd. Many researchers around the world have addressed this task and …

Sharing facial pictures through online services, especially on social networks, has become a
common habit for thousands of users. This practice hides a possible threat to privacy: the …

Recognising human attributes from surveillance footage is widely studied for attribute-based
re-identification. However, most works assume coarse, expertly-defined categories …