Automatic moving object detection has gained increased research interest due to its widespread applications like security provision, traffic monitoring, and various types of anomalies detection, etc. In the video surveillance system, the video is processed for the detection of motion objects in a step-by-step process. However, the detection has become complex and less effective due to various complex constraints. To obtain an effective performance in the detection of motion objects, this research work focuses to develop an automatic motion object detection system based on the statistical properties of video and supervised learning. In this paper, a novel Background Modeling mechanism is proposed with the help of a Biased Illumination Field Fuzzy C-means algorithm to detect the moving objects more accurately. Here, the non-stationary pixels are separated from stationary pixels through the Background Subtraction. Afterward, the Biased Illumination Field Fuzzy C-means approach has accomplished to improve the segmentation accuracy through clustering under noise and varying illumination conditions. The performance of the proposed algorithm compared with conventional methods in terms of accuracy, precision, recall, and F- measure.

In recent arena of communications are done with the some secrete code words, it's are under some technologies, like the Steganography also of the communication techniques it uses the code words for communication purposes, it is also refer as the science of in visible communication. It is differ from the normal encryption and decryption techniques, the main aim is to secure the communication and prevent from an attacker or eaves-dropper, the Steganography Techniques challenge to cover the availability of the images itself from the observer. In some enterprises, organizations and government sectors are have the Copyrights of their sources of information like the text, image, voice or multimedia In the technology of Image Steganography, Secret Communication is accomplish to insert a text information ie message into the cover image after that generate a Stegoimage. Here we analyzed the various steganography techniques and covered the concepts of steganography and its major types, classifications and applications. Information hiding is based on digital watermarking. The DWM-is the short form of Digital Watermarking, it is a method of is the method of entrenching information into Digital Multimedia, it is a process to extract/detect for prevention and control. The information hiding and digital watermarking is the main goal of steganography is to be communicating in secure manner.