The last three decades have seen a shift and impressive progress in the biometric
technologies landscape. Several major real‐world applications of biometrics have been …

Manual processing of a large volume of video data captured through closed-circuit television
is challenging due to various reasons. First, manual analysis is highly time-consuming …

The recognition of people's interactions is crucial for making the surveillance applications
able to recognize unusual events in complex environments. Generally, multiple cameras are …

This paper introduces a new method for human action recognition based on human body
skeleton. The proposed method is composed of two phases: an off-line phase which selects …

Due to advancement in technology, surveillance systems have become more automated
without manual assistance. This paper presents a new method of gait feature extraction and …

Biometrics is the important area of distinguishing people using their behavioural
characteristics. Until now, researcher and exporter increasing interest with vein pattern …

This paper evaluates the performance of contemporary gait identification systems. A time,
erosion and neural inspired framework (TEN-FE) for gait identification was proposed to …

In this paper we provide a detailed information on classical and recent research results in
gait recognition. We provide classification of leading concepts, representations, experiments …