Distributed Real-Time Embedded Video Processing

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Presentation transcript:

Distributed Real-Time Embedded Video Processing Tiehan Lv (1), Burak Ozer (2), Wayne Wolf (1) (1) Dept. of EE, Princeton University (2) Verificon Corp.

Smart Camera Systems A smart camera is a video surveillance system that is able to identify body parts and objects and then recognize the activity of people or objects in the scene.

Sample Scenarios

Algorithms

Architecture of a Smart Camera System TriMedia Board TM32 (VLIW) PCI Bus Host PC SuperScalar RISC CPU Camera NTSC Shared Memory

Multiple Camera Systems Electronically Panning&Zooming Occlusion

Centralized Processing Storage Cost Latency Communication Load Power

Centralized Processing vs. Distributed Processing Raw Data vs. Abstract Representation Network Load Energy Latency Processing Power

Design Time Decisions and Run-time Decisions Configuration Processor Special Functional Units Hardware Architecture Operating System Efficiency Flexibility

Distributed Video Middleware The Concept of Layers Trans-platform Development Trans-platform Communication

Distributed Video Middleware

Distributed Video Middleware Separate video processing algorithm and operating system Algorithm researcher focus on video processing Facilitate porting application to different systems

Conclusion and Future Work Distributed smart camera systems have advantages over traditional centralized processing systems Design time decisions and run-time decisions need to be combined to form an optimal solution Distributed video middleware can facilitate research and application development