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A General Framework for a Robust Human Detection in Images Sequences.

, , , and . ICIG, page 244-249. IEEE Computer Society, (2009)

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Performance evaluation of image segmentation. Application to parameters fitting., , and . EUSIPCO, page 1-4. IEEE, (2005)Feature Selection for Emotion Recognition based on Random Forest., , , and . VISIGRAPP (4: VISAPP), page 610-617. SciTePress, (2016)A New Supervised Evaluation Criterion for Region Based Segmentation Methods., , , and . ACIVS, volume 4678 of Lecture Notes in Computer Science, page 439-448. Springer, (2007)Evaluation of Human Detection Algorithms in Image Sequences., , , , and . ACIVS (2), volume 6475 of Lecture Notes in Computer Science, page 121-130. Springer, (2010)A support vector machine as an estimator of mountain papaya ripeness using resonant frequency or frequency centroid., , , , , and . IFIP AI, volume 217 of IFIP, page 335-344. Springer, (2006)Supervised evaluation of synthetic and real contour segmentation results., , , and . EUSIPCO, page 1-4. IEEE, (2006)Human Detection with a Multi-sensors Stereovision System., , , , and . ICISP, volume 6134 of Lecture Notes in Computer Science, page 228-235. Springer, (2010)Review and evaluation of commonly-implemented background subtraction algorithms., , , , and . ICPR, page 1-4. IEEE Computer Society, (2008)Comparative study of background subtraction algorithms., , , , and . J. Electronic Imaging, 19 (3): 033003 (2010)Parametrization of an image understanding quality metric with a subjective evaluation., , , and . Pattern Recognition Letters, 34 (5): 511-518 (2013)