.Publications.

ICASSP 2008

 
Interactive Environmental Sensing: Signal and Image Processing Challenges

ABSTRACT:
Networked embedded acoustic sensors and imagers allow scientists to observe biological and environmental phenomena at high sampling rates and multiple scales. Such sampling can creating large data sets that often require some form of automated processing to extract useful information. However, to be guarantee the accuracy of the data, the scientist must be included in the processing, rather than treating it as a black box, an approach we call interactive environmental sensing. In this paper we describe the challenges of such an approach and motivate it with several examples from bioacoustics, plant phenology and avian biology.

12.24.07

ICDSC 2007

 
Exploring Tradeoffs in Accuracy, Energy and Latency of Scale Invariant Feature Transform in Wireless Camera Networks

ABSTRACT:
Advances in DSP technology create important avenues of research for embedded vision. One such avenue is the investigation of tradeoffs amongst system parameters which affect the energy, accuracy, and latency of the overall system. This paper reports work on benchmarking the performance and cost of Scale Invariant Feature Transform (SIFT) for visual classification on a Blackfin DSP processor. Through measurements andmodeling of the camera sensor node, we investigate system performance (classification accuracy, latency, energy consumption) in light of image resolution, arithmetic precision, location of processing (local vs. server-side), and processor speed. A case study on counting eggs during avian nesting season is used to experimentally determine the tradeoffs of different design parameters and discuss implications to other application domains.

12.24.07.

2007

 
Heartbeat of a Nest: Using Imagers as Biological Sensors
ABSTRACT:
We present a scalable end-to-end system for vision-based monitoring of a biological phenomenon. Our system enables automated analysis of thousands of images, where manual processing would be infeasible. We automate the analysis of raw imaging data using statistics that are tailored to the task of interest, the study of avian behavior during nesting cycles...

12.24.07

2006

 
Magic of Numbers in Networks of Wireless Image Sensors
ABSTRACT:
Large-scale networks of battery-operated wireless image sensors have become technologically feasible. However, it is still unclear how we can benefit from large-scale deployments of imagers. In this paper...

12.24.07

2005

 
Network of cyclops; image inference and interpretation in sensor network
DEMO:
Recent technological progress in integrated low power CMOS based imaging devices has led to new type of sensors such as Cyclops. Cyclops is a CMOS image sensor, with reduced complexity and power that allows it to mate with typical sensor network nodes such as Motes. This motivates a...

 
Deep Vision: Experiments in Exploiting Vision in Wireless Sensor Networks
POSTER:
Recent technological advances in low power CMOS imaging has lead to a new class of imaging devices such as Cyclops. Cyclops is a low power and complexity imaging sensor that mates with conventional sensor network nodes such as Motes.In this demo we present deep vision...

12.24.07