Intrusion detection systems were used in the past along with various techniques to detect intrusions in networks effectively. However, most of these systems are able to detect the intruders only with high false alarm rate. In this paper, we propose a new intelligent agent-based intrusion detection model for mobile ad hoc networks using a combination of attribute selection, outlier detection, an...

Left objects pose a real threat to security in public areas such as railway stations and airports. Detection of these objects therefore forms an important part in any intelligent video surveillance system that is deployed at such locations. Successful left object detection algorithms must operate in real time and produce sufficient detection accuracy with low false positive rates. However in re...

The intelligent vehicle navigation based on machine vision is the important part to realize Intelligent Transportation System (ITS), and it includes road detection, obstacle detection and motion control. Combining with foreign and domestic latest research trends, in this article, we mainly study the typical method of road detection, and point out the research and development tendency of intelli...

In this paper, two methods for multiple instance target characterization, MI-SMF and MI-ACE, are presented. MISMF and MI-ACE estimate a discriminative target signature from imprecisely-labeled and mixed training data. In many applications, such as sub-pixel target detection in remotely-sensed hyperspectral imagery, accurate pixel-level labels on training data is often unavailable and infeasible...

In today’s world all the imaging data or information is processed and stored in a digital form. The digital imaging used in many applications like forensic imaging, medical imaging and computer graphics etc. The image is first captured by the hardware and then converted into digital form and stored in memory device. The digital images are represented and stored in the form of square pixel. The ...