Recently, video surveillance has garnered considerable attention in various real-time
applications. Due to advances in the field of machine learning, numerous techniques have …

There is huge requirement of continuous intelligent monitoring system for human activity
recognition in various domains like public places, automated teller machines or healthcare …

Video surveillance systems are deployed at many places such as airports, train stations, and
malls for security and monitoring purposes. However, it is laborious to search for and …

In this computer era, the interaction between human and machine is an extremely interesting
area due to the advent of deep transfer learning and the availability of vision based human …

With the passage of time, detection and tracking of the object has gained popularity in
various applications. Video surveillance is among the most evolved applications of object …

Pedestrian tracking in surveillance videos is crucial and challenging for precise personnel
management. Due to the limited coverage of a single video, the integration of multiple …

为更好地应对跟踪过程中复杂的场景变化问题, 提出一种采用多种特征融合进行跟踪的方法.
算法在粒子滤波的框架下, 通过在跟踪过程中对每一个特征进行不确定性度量 …

The moving object detection and tracking technology has been widely deployed in visual
surveillance for security, which is, however, an extremely challenge to achieve real-time …

The recognition of abnormal events in surveillance video streams plays a crucial role in
modern security systems, yet conventional techniques such as Support Vector Machines …

Object detection (OD) has been a deep and vital field in different industries such as security,
medical and automobile industry. Counting identified objects has been proved as a crucial …