A pedestrian detection algorithm based on mechanism of dynamic cost-sensitive parameters optimization is pro-posed. This algorithm introduces a cost-sensitive SVM classification algorithm by setting cost-sensitive parameters to pro-cess the problem of class-imbalanced between the sample size of pedestrian and non-pedestrian in an image. Taking into account the selection of cost-sensitive parameters’values has a great influence on the detection performance, the paper proposes a chaotic particle swarm optimization algorithm based on T mutation t...
