New camera technology with new challenges
Our project investigates intelligent motion detection using compressed sensing (CS), an emerging data acquisition technology with promising applications for still and video cameras. CS incorporates image compression into the initialdata collection on an image rather than generating a compressed file after initially collecting a larger amount of data. By taking only as many data points as will be stored ortransmitted, compressed sensing seeks to eliminate the waste from collecting many, many pixel-intensity values on an image and thenusing compression algorithms (such as JPEG or GIF) to encode a much smaller number of data points to closely approximate theinformation in the original image. [1]
Lower resource usage makes compressed sensing cameras attractive choices for low-power applications includingsecurity cameras. Ilan Goodman, Ph.D candidate at Rice University, has demonstrated that motion detection using a simulated CS camerais possible by computing entropy changes between successive CS measurements [2]. Starting from his work, we explore what can be determined about the motion of an object using compressedsensing.
[1] "Compressed Sensing Resources." DigitalSignal Processing Group, Department of Electrical and Computer Engineering, Rice University. 2005. (External Link) .
[2] I.N. Goodman&D.H. Johnson. "Look at This: Goal-Directed Imaging with Selective Attention." (poster) 2005Rice Affiliates Day, Rice University, 2005.