title: Optical compressive change and motion detection.
abstract: Localization information of moving and changing objects, as commonly extracted from video sequences, is typically very sparse with respect to the full data frames, thus fulfilling one of the basic conditions of compressive sensing theory. Motivated by this observation, we developed an optical compressive change and motion-sensing technique that detects the location of moving objects by using a significantly fewer samples than conventionally taken. We present examples of motion detection and motion tracking with over two orders of magnitude fewer samples than required with conventional systems.
authors.affiliation: Department of Electro-Optics Engineering, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
authors.forename: Yuval
authors.initials: Y
authors.lastname: Kashter
authors.forename: Ofer
authors.initials: O
authors.lastname: Levi
authors.forename: Adrian
authors.initials: A
authors.lastname: Stern
mesh_terms: D000465:Algorithms; D044962:Data Compression / Q000379:methods*; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D009038:Motion; D009716:Numerical Analysis, Computer-Assisted; D013382:Subtraction Technique; D014741:Video Recording / Q000379:methods