Course Highlights:

Today’s CCTV-based video monitoring and surveillance systems (VMS) are manually monitored, with typical control rooms occupied by operators working around the clock on multiple screens. This requires operator knowledge, experience and skill if there is to be a good chance of an unusual event or behaviour being detected – let alone an integrated situational awareness of a large complex space. Although cameras and networks can bring remote scenes to a close distance to view, it is humans who actually perform various processing tasks, from low-level pixel perception and motion detection to high-level behaviour identification. However, despite human intelligence, significant or composite events can often be missed due to operator fatigue, the challenge of viewing multiple video streams simultaneously, and sheer volume of visual information.

The advent of IP CCTV has brought about big changes in remote video monitoring. Not only has it provided the flexibility to monitor video anywhere and anytime on the IP network, it’s also enabled network-based video storage for distributed video hosting, high quality of streaming videos of potentially mega pixels resolution, and more efficient video compression techniques. Nevertheless, the way in which humans are involved in the video monitoring loop remains more or less the same, still requiring either intensive eyeballing of screens in real-time, or laborious searching for suspicious events in huge volumes of storage video.
This training course will focus on analysis and discussion on some of the issues stated above and devising practical technical solutions at the end-to-end system, component and feature level, providing explanations of the best practice and hints based on the trainer’s own experience and broad knowledge and awareness of this fast changing field.  The core technologies in the system chain of an intelligent video surveillance application exploiting object-based and holistic approaches will be explained involving user requirements and experience at the centre of design. Collating and presenting the latest information, this training course explores these issues, from fundamentals principle to algorithmic design and system implementation.

Objective of the course:

At the end of the course, participants will be able to:

1. Understand the scope of problems, requirements and technology evolution in the field of Intelligent Video Surveillance system and solution, to have a clear idea of the state-of-the-play, applications and opportunities offered, and the advancement of its underpinning technical subject areas of Image Processing, Computer Vision, and Pattern Recognition.
2. Identify the purpose and typical algorithms employed for each core component of an end-to-end surveillance solution, and the requirements and basic design involved in such a solution in order to cater for a variety of problems.
3. Understand practicality of solutions/algorithms through hands-on training and experiments by way of case studies and demonstrations.