ABSTRACT
Biometric measures are becoming prominent indicators of patient status in clinical diagnosis, human recognition, and security. Intelligent surveillance systems seek to discover possible threats automatically and raise alerts. Being able to identify the surveyed object can help determine its threat level. The current generation of devices provides digital video data to be analysed for time varying features to assist in the identification process. Commonly, people queue up to access a facility and approach a video camera in full frontal view. In this environment, a variety of biometrics are available, for example gait, which includes temporal features like stride period, possible anomalies in moving hands or walking. Gait can be measured unobtrusively at a distance. The video data will also include face features, which are short-range biometrics. In this way, one can combine biometrics naturally using one set of data.
