Address-Event Video Streaming over Wireless Sensor Networks

Abstract— We explore an algorithm and methodology for realtime video compression and communication over sensor network. Video is encoded using the address-event representation (AER) and using custom image sensors capable of detecting intensitydifferences (motion) information. The work focuses on keeping a constant low bit-rate over sensor network channels based on ZigBee radios, so that the motion information in an image can degrade gracefully when the resolution or the image content is varied over time. We show that a 320x240 video stream can be compressed up to 50 times while being intelligible for interpreting motion patterns. This compression requires zero computation when the image is encoded with AER. The work will be applied to remote monitoring of home-care patients and surveillance.

• Type: Conference
• Year: 2007
• Where: ISCAS
• Authors: Eugenio Culurciello, Joon Hyuk Park, Andreas Savvides
• Keywords: Custom Image Sensors, ISCAS 2007, Realtime Video Compression, Sensor Network