Enabling Visual Analysis in Wireless Sensor Networks
2014 (English)In: 2014 IEEE International Conference on Image Processing (ICIP), IEEE , 2014, 3408-3410 p.Conference paper (Refereed)
This demo showcases some of the results obtained by the GreenEyes project, whose main objective is to enable visual analysis on resource-constrained multimedia sensor networks. The demo features a multi-hop visual sensor network operated by BeagleBones Linux computers with IEEE 802.15.4 communication capabilities, and capable of recognizing and tracking objects according to two different visual paradigms. In the traditional compress-then-analyze (CTA) paradigm, JPEG compressed images are transmitted through the network from a camera node to a central controller, where the analysis takes place. In the alternative analyze-then-compress (ATC) paradigm, the camera node extracts and compresses local binary visual features from the acquired images (either locally or in a distributed fashion) and transmits them to the central controller, where they are used to perform object recognition/tracking. We show that, in a bandwidth constrained scenario, the latter paradigm allows to reach better results in terms of application frame rates, still ensuring excellent analysis performance.
Place, publisher, year, edition, pages
IEEE , 2014. 3408-3410 p.
IdentifiersURN: urn:nbn:se:kth:diva-156177DOI: 10.1109/ICIP.2014.7025690OAI: oai:DiVA.org:kth-156177DiVA: diva2:765491
IEEE International Conference on Image Processing (ICIP), Paris, France, October 2014
FunderEU, FP7, Seventh Framework Programme
QC 201502062014-11-242014-11-242015-02-06Bibliographically approved