Research On Video Surveillance

This paper is about intelligent video surveillance. It involves in the following several topics, Moving objects detection under a static or moving background, tracking the moving objects, classifying moving objects into two class, walking man and vehicle, the last research topic is digital image watermarking for authentication.On the research of the moving objects detection and retrieval under a static background, we proposed a improved algorithm based on adjacent frame difference, and several background I image estimation methods are given, and an adaptive background estimation method by means of distinguishing moving pixels and background pixels was proposed, at end of this topic, we proposed a accurate retrieval moving objects algorithm, an experiment is given to show this method is efficient.On the research of the moving objects detection and retrieval under a moving background, we explained that using an affine-transformation model with six parameters to model the background image motion is reasonable. In order to detect moving objects, we proposed two background images matching methods. One method was based on image blocks matching, and another method is based on optic flowing estimation.On the research of the tracking objects, we researched on fast objects searching methods. In order to track moving objects real-time, we used an extend Kalman filter to predict moving objects position and then reduce objects search range, and made use of results of moving objects detection to improve objects matching efficiency, at last, an experiment was given to show that the proposed algorithm was fast and efficient.On the research of the moving objects classifying, we proposed several features that can be used for distinguish walking man and vehicle, and then we used Support Vector Machine to classify walking man and vehicle.On the research of the image authentication, digital watermarking has been proposed as a method for authentication. Now, there are many watermarking schemes for still color images, we present an approach for embedding digital watermarking information into color channels DCT (Discrete cosine transforms) domains in the image. Specifically, the embedded watermarking is extracted without resorting to original image and any other data sets. Experimental results demonstrate that the watermark is robust to most of the image and signal processing techniques, and also our schemes are shown to provide very good results both in terms of image transparency and robustness.