Specific Pedestrian And Vehicle Detection With Non-overlapping Cameras

Monitoring systems are widely used in military, commercial, and transportationand other areas, the traditional surveillance system operators play a crucial role, bothlabor-intensive and unreliable, as the monitor size and the amount of data is increasing,the intelligent monitoring technology demand and dependence is growing. In this paper,image processing and pattern recognition techniques proposed pedestrian trafficdetection method specific objectives and research based on multi-camera objectmatching people and vehicles based on this technology.Specific contents of this paper include pedestrian vehicle color detection, basedon a single camera people and vehicles based target detection and matchingmulti-camera target vehicles. Detect specific direction pedestrian traffic, includingvehicles and vehicle color detection and object detection in two parts, target detectionusing Gaussian mixture model for background modeling, combined with shadowremoval, morphological processing and other means to detect foreground, and thenextract the target gradient histogram feature training classifiers; colors are a particulartarget of the most intuitive features, color detection general idea of using treeclassification, the main contents include distinguishing color target and non-targetcolor, black and white target classification and color target color quantitativecalculation, histogram feature can solve the first two problems, with emphasis onquantitative target color color computing problems, this paper proposes a kind of pixelillumination estimation based approach.Multi-camera target matching problem between a research hotspot in recent years,aiming at the target vehicle matching non-overlapping field of view of the peoplestudied, discussed the establishment of performance targets for the various features ofthe model and presents a variety of features based on target vehicles matching method, including feature extraction, similarity measurement and identification of people andvehicles matching strategy.