Paper Info
Title
High-Speed Motion Detection Using Event-Based Sensing
Abstract
Event-based vision emerges as an alternative to conventional full-frame image processing. In event-based systems there is a vision sensor which delivers visual events asynchronously, typically illumination level changes. The asynchronous nature of these sensors makes it difficult to process the corresponding data stream. It might be possible to have few events to process if there are minor changes in the scene, or conversely, to have an untreatable explosion of events if the whole scene is changing quickly. A Selective Change-Driven (SCD) sensing system is a special event-based sensor which only delivers, in a synchronous manner and ordered by the magnitude of its change, those pixels that have changed most since the last time they have been read-out. To prove this concept, a processing architecture for high-speed motion analysis, based on the processing of the SCD pixel stream has been developed and implemented into a Field Programmable Gate-Array (FPGA). The system measures average distances using a laser line projected into moving objects. The acquisition, processing and delivery of distance takes less than 2 mu s. To obtain a similar result using a conventional frame-based camera it would be required a device working at more than 500 Kfps, which is not practical in embedded and limited-resource systems. The implemented system is small enough to be mounted on an autonomous platform.
Year
DOI
Venue
2017
10.5220/0006183902460253
PROCEEDINGS OF THE 12TH INTERNATIONAL JOINT CONFERENCE ON COMPUTER VISION, IMAGING AND COMPUTER GRAPHICS THEORY AND APPLICATIONS (VISIGRAPP 2017), VOL 4
Keywords
Field
DocType
High-speed Motion Analysis, Event-based Sensing, FPGA System, Laser Triangulation
Computer vision,Pattern recognition,Motion detection,Computer science,Artificial intelligence
Conference
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Jose A. Boluda1293.91
F. Pardo28211.00
Francisco Vegara3254.99