This program is released for research and educational purposes and it is a basic version of the code developed for the paper: F. Castanedo, J. García, M. A. Patricio and J.M. Molina. “A Multi-agent Architecture Based On The BDI Model For Data Fusion In Visual Sensor Network”. Journal of Intelligent and Robotic Systems. DOI: 10.1007/s10846-010-9448-1. So, please cite the paper if you find this work useful. The code employs the annotated (ground-thruth) information of several cameras from the APIDIS dataset and the obtained global result is plotted on the ground plane basketball court. It is developed using standard C and tested under Ubuntu Linux, it is no guarantee to work under other OS. If you have any questions, comments or improvements, feel free to email me: Federico Castanedo. { <castanedofede_at_gmail.com> | <federico.castanedo_at_uc3m.es> } Requirements ------------ 1.- Apidis dataset, you could download from: http://www.apidis.org/Dataset/ 2.- OpenCV library, you could download from: http://opencv.willowgarage.com/wiki/ 3.- LibXml, you could download from: http://xmlsoft.org/ 4.- Reg Willson implementation of Tsai's calibration, you could download from: http://www.cs.cmu.edu/~rgw/TsaiCode.html NOTE: you need to change the location of the apidis images if you want to see them, in apidis-main.h #define LOCATION_CAMX
fcastanedo/apidis
Obtain ground truth information from apidis dataset and show the bounding box from the images using opencv
C