Two improved texture features (hybrid local binary pattern, HLBP) and (color based hybrid local binary pattern, CHLBP) which are based on gray image texture and color space are proposed for pedestrian detection. The experimental results show that, when FPPW is 10^–4, the detection rate of HLBP is 93.96% which is about 3.46% and 9.68% higher than Uniform LBP and CSLBP respectively. At the same time, when combined with the HIKSVM classifier, CHLBP feature based on L′C′C′ space makes the detection rate up to 98.58%, and its detection performance has been greatly improved, by this method an good result could be obtained in pedestrian detection.