2016 International Conference on Frontiers of Information Technology (FIT) (2016)
Dec. 19, 2016 to Dec. 21, 2016
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/FIT.2016.027
Recently, large number of object detection and recognition algorithms are playing a key role in several applications, such as security and surveillance. Although, these algorithms perform exceptionally well under normal lighting conditions, however their detection and recognition accuracy abruptly degrades under non-uniform illuminations, such as strong sunlight and bad lighting conditions. In this paper, we apply our own developed Multi-Scale Retinex (MSR) algorithm as a pre-processing module to boost the accuracy of the AdaBoost algorithm, which is considered to be state-of-the-art algorithm for robust object detection and recognition. Simulation results show that the MSR can be reliably and effectively used under non-uniform illuminations to boost the accuracy of the AdaBoost.
Image enhancement, Face, Lighting, Face recognition, Image recognition, Object detection, Boosting,Object Detection and Recognition, AdaBoost, Multi-Scale Retinex
Zahid Mahmood, Muhammad Nazeer, Muhammad Arif, Imran Shahzad, Fahad Khan, Mazhar Ali, Uzair Khan, Samee U. Khan, "Boosting the Accuracy of AdaBoost for Object Detection and Recognition", 2016 International Conference on Frontiers of Information Technology (FIT), vol. 00, no. , pp. 105-110, 2016, doi:10.1109/FIT.2016.027