Synchronization Detection of Multicamera System Based on LED Matrix

In a nonsynchronous multicamera system, cameras start to capture pictures at different time. To synchronize cameras, we should know the capture time of each camera and adjust them according to the time. We propose a high precision method to detect the synchronization accuracy by using a FPGA based LED matrix as a detector. The LEDs in the matrix are encoded basing on the carry-flowing encoding (CFE) method, so the matrix displays a sequence of different LEDs combination states. When the cameras capture an image of the detector, the state of LED matrix in the image and the capture time that it represents can be determined. According to the capture time, we can detect the relative time interval between cameras, adjust them on account of the interval, and finally synchronize all the cameras. A four-camera synchronization system is setup to verify this method. Experiment results show that the detection of the synchronization accuracy can be less than 1ms. The proposed multicamera detection method is simple and easy to use, it can be applied to most of the multicamera systems.

[1]  Piyush Rai,et al.  A Cost-effective Multiple Camera Vision System using FireWire Cameras and Software Synchronization , 2004 .

[2]  A. Prochazka,et al.  Multicamera Systems in the Moving Body Recognition , 2006, Proceedings ELMAR 2006.

[3]  M. Pollefeys,et al.  VIDEO SYNCHRONIZATION VIA SPACE-TIME INTEREST POINT DISTRIBUTION , 2004 .

[4]  Hans Weda,et al.  Synchronization of multiple video recordings based on still camera flashes , 2006, MM '06.

[5]  John F. Canny,et al.  A Computational Approach to Edge Detection , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[6]  Luc Van Gool,et al.  ViRoom - Low Cost Synchronized Multicamera System and Its Self-calibration , 2002, DAGM-Symposium.

[7]  Keiichi Abe,et al.  Topological structural analysis of digitized binary images by border following , 1985, Comput. Vis. Graph. Image Process..

[8]  Anibal C. Matos,et al.  Raspberry PI based stereo vision for small size ASVs , 2013, 2013 OCEANS - San Diego.

[9]  Andrew W. Fitzgibbon,et al.  A Buyer's Guide to Conic Fitting , 1995, BMVC.

[10]  Mauro Barbieri,et al.  Synchronization of multi-camera video recordings based on audio , 2007, ACM Multimedia.

[11]  V. Sathish Kumar,et al.  EMBEDDED IMAGE CAPTURING SYSTEM USING RASPBERRY PI SYSTEM , 2014 .

[12]  George A. Triantafyllidis,et al.  Synchronous Image Acquisition based on Network Synchronization , 2006, 2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06).

[13]  Qi Zhao,et al.  High-precision synchronization of video cameras using a single binary light source , 2009, J. Electronic Imaging.