Title :
Low Power Motion Detection with Low Spatial and Temporal Resolution for CMOS Image Sensor
Author :
Verdant, Arnaud ; Dupret, Antoine ; Mathias, Herve ; Villard, Patrick ; Lacassagne, Lionel
Author_Institution :
CEA/LETI, Grenoble
Abstract :
Video surveillance aims at detecting unexpected individuals or objects intrusion. When no motion is observed, common motion detection systems induce huge power consumption, regardless of the scene activity. This paper presents algorithms for low power motion detection, and their possible implementation. The main interest is that they are able to adapt the sensor´s acuity according to the scene activity. Relevant motion information can be extracted from images with lowered spatial and temporal resolution, with specific algorithms. By reducing the amount of data to analyze and spatial and temporal redundancy, a drastic reduction of power consumption can be achieved.
Keywords :
CMOS image sensors; image motion analysis; image resolution; object detection; power consumption; CMOS image sensor; low power motion detection; motion detection systems; object intrusion; power consumption; spatial resolution; temporal resolution; video surveillance; CMOS image sensors; Data analysis; Data mining; Energy consumption; Image resolution; Layout; Motion detection; Object detection; Spatial resolution; Video surveillance;
Conference_Titel :
Computer Architecture for Machine Perception and Sensing, 2006. CAMP 2006. International Workshop on
Conference_Location :
Montreal, Que.
Print_ISBN :
978-1-4244-0685-2
Electronic_ISBN :
978-1-4244-0686-9
DOI :
10.1109/CAMP.2007.4350342
