Transcript A Collaborative Pervasive Surveillance System (COPS) based on low bit-rate video Supervised by Prof.

A Collaborative Pervasive Surveillance System (COPS)
based on low bit-rate video
Supervised by
Prof. Shueng Han Gary Chan
Presented by
Ho Chi Wang, Jody
Tsang Yiu Wing, Wing
Yiu Ching Chak, Billy
Overview of Presentation
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Tsang Yiu Wing, Wing
Ho Chi Wang, Jody
Yiu Ching Chak, Billy
Background and Importance
Work from Previous FYPs
System Architecture
System Functionalities
Conclusion
Quick COPS Demonstration
Question and Answer
Background and Importance
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Problems of Existing Video Surveillance System
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Huge manipulation cost
Intensive human involvement
Location-restricted
 Collaborative and Pervasive
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Our Group
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Tsang Yiu Wing, Wing
Ho Chi Wang, Jody
Yiu Ching Chak, Billy
Designed system architecture
Implemented core parts of COPS
Work from Previous FYPs
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Not fulfill the requirements for the COPS
– Only two components
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Centralized Server
Simple Client
 Not effectively use the resources
 Not achieve a collaborative system
– Not optimized settings
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Not maintainable and flexible for extension
– Code-and-Fix strategy
– Highly coupled modules
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Ho Chi Wang, Jody
Tsang Yiu Wing, Wing
Yiu Ching Chak, Billy
Lack of project management and documentation
System Architecture – Overview
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Our COPS - Distributed System Architecture was adopted
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Real-time Video Streaming Server
Application-Level Multicast Server
Video Storage Server
Web-based Image Server
Dialogic Board Server
– Intelligent Client
Ho Chi Wang, Jody
Tsang Yiu Wing, Wing
Yiu Ching Chak, Billy
System Architecture – Pictorial View
Ho Chi Wang, Jody
Tsang Yiu Wing, Wing
Yiu Ching Chak, Billy
System Architecture – Server and Client Structure
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Layered Model – 3 layers was introduced
Streaming Server
GUI
Ho Chi Wang, Jody
Tsang Yiu Wing, Wing
Yiu Ching Chak, Billy
Capture
Intrusion
Intelligent Client
GUI
Encoder
Decoder
Network
Network
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A set of well-defined interfaces between modules
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Implemented as Dynamic Link Library (DLL)
System Functionalities – Streaming Server
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Real-time Streaming Server
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Multiple camera supports
Video encoding – H.263+
• 30 fps for QCIF
• 15 fps for CIF
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Video streaming – UDP, RTP and TCP
Intrusion detection and event-driven
alert service
Yiu Ching Chak, Billy
Ho Chi Wang, Jody
Tsang Yiu Wing, Wing
System Functionalities – Intelligent Client
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Client-side Real-time Monitor
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Video decoding – H.263+
UDP, RTP and TCP
Intrusion detection alert
• Alarming sound
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Storage Server Video Playback
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Video sequence searching
File Playback
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Multiple video format support
H.263+, RGB, YUV
Yiu Ching Chak, Billy
Ho Chi Wang, Jody
Tsang Yiu Wing, Wing
System Functionalities – Graphical User Interface
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User Friendly Interface
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Multiple camera previews
Detailed event log
Information display – fps, bps
Icon menu
Intrusion detection region settings
Detailed system settings
Server
Client
Yiu Ching Chak, Billy
Ho Chi Wang, Jody
Tsang Yiu Wing, Wing
Conclusion – Major Accomplishments
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Successful System Re-engineering
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Tsang Yiu Wing, Wing
Ho Chi Wang, Jody
Yiu Ching Chak, Billy
A whole system architecture is designed
The system is modulized according to functionalities
Changes to each modules can be isolated
Functions-rich and high performance system is developed
Good Project Management and Documentations
Conclusion – Future Extension
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Enhancing Video Encoding and Decoding Scheme
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Improving the service in the network module
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Tsang Yiu Wing, Wing
Ho Chi Wang, Jody
Yiu Ching Chak, Billy
H.264 – real-time video streaming with DVD quality
Support quality of service (QoS)
Enhance security service of the system
Quick COPS Demonstration
Tsang Yiu Wing, Wing
Ho Chi Wang, Jody
Yiu Ching Chak, Billy
Question and Answer
Tsang Yiu Wing, Wing
Ho Chi Wang, Jody
Yiu Ching Chak, Billy
FYP Demonstration
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Date
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Time
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11:00AM – 12:00PM
Venue
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8, May 2004 (Saturday)
Pervasive Lab (Room 4203)
COPS Official Website
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http://mwnet.cs.ust.hk/cops
THANK YOU