6. The method of claim 4 , wherein the generating the crowd feature data includes building a multiple reference image background model using day night detection and ground plane calibration.
6. The method of claim 4 , wherein the generating the crowd feature data includes building a multiple reference image background model using day night detection and ground plane calibration. 7. The method of claim 6 , wherein the generating crowd level features includes at least one of a hybrid human detector comprising a multiple learning based human detector using an interleaving scanning method, texture analysis using fusion thereby generating crowd density, crowd count, crowd location, crowd size, and optical flow analysis for the crowd dynamics and motion features, thereby providing accurate human localization and crowd density estimation.