TY - JFULL AU - Sallama Athab and Hala Bahjat PY - 2013/10/ TI - Moving Area Filter to Detect Object in Video Sequence from Moving Platform T2 - International Journal of Computer and Information Engineering SP - 1183 EP - 1188 VL - 7 SN - 1307-6892 UR - https://publications.waset.org/pdf/16625 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 81, 2013 N2 - Detecting object in video sequence is a challenging mission for identifying, tracking moving objects. Background removal considered as a basic step in detected moving objects tasks. Dual static cameras placed in front and rear moving platform gathered information which is used to detect objects. Background change regarding with speed and direction moving platform, so moving objects distinguished become complicated. In this paper, we propose framework allows detection moving object with variety of speed and direction dynamically. Object detection technique built on two levels the first level apply background removal and edge detection to generate moving areas. The second level apply Moving Areas Filter (MAF) then calculate Correlation Score (CS) for adjusted moving area. Merging moving areas with closer CS and marked as moving object. Experiment result is prepared on real scene acquired by dual static cameras without overlap in sense. Results showing accuracy in detecting objects compared with optical flow and Mixture Module Gaussian (MMG), Accurate ratio produced to measure accurate detection moving object. ER -