Virus-evolutionary genetic algorithm based selective ensemble classifier for pedestrian detection
Bo Ning, Xianbin Cao, Yanwu Xu, Jun Zhang · 2009
In pedestrian detection system, it is critical to determine whether a candidate region contains a pedestrian both quickly and reliably. Therefore, an efficient classifier must be designed. In general, a well-organized assembly classifier outperforms than single classifiers. For pedestrian detection, due to the complexity of scene and vast number of candidate regions, an efficient ensemble method is needed.