Automated Detection of Whale Blows in Infrared Video

Award Information
Agency: Department of Commerce
Branch: National Oceanic and Atmospheric Administration
Contract: WC133R-11-CN-153
Agency Tracking Number: 11-06
Amount: $95,000.00
Phase: Phase I
Program: SBIR
Awards Year: 2011
Solicitation Year: 2011
Solicitation Topic Code: 8.1.6F
Solicitation Number: 1
Small Business Information
215 Parkway North, PO Box 280, Waterford, CT, 06385-1209
DUNS: 077317766
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Margaret Bailey
 VP Software Development
 (860) 326-3621
 bailey_m@sonalysts.com
Business Contact
 Sara Theriault
Title: Contracting Officer
Phone: (860) 326-3634
Email: sarat@sonalysts.com
Research Institution
N/A
Abstract
The gray whale migration generates many hours of video that must be examined carefully to identify passing whales and get an accurate count of their numbers. Unfortunately, humans lack the necessary attention span. To solve this problem, a detector will be developed that can process hours of video, detecting whale blows while minimizing false positives and negatives. With an accurate record of the time and position of whale blows, it is possible to calculate the numbers of animals in each group, their average swimming speed, and, in the longer view, to measure the species abundance. Sonalysts, along with the University of Dayton’s School of Engineering and Whale Acoustics, will design a software architecture that encourages the loose coupling of pluggable components for: input processing of sensor streams, analysis algorithms, visualization systems, and storage components to support the workflow of whale population monitoring. This solution will draw upon our research-grade Heuristic Intelligent Storage System, a distributed, intelligent, large stream data ingest, data mining and storage system. This framework, coupled with image processing algorithms and whale population density estimation expertise, will define a video processing system that will produce more accurate results with less labor.

* Information listed above is at the time of submission. *

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