Papers by Ihsan Ullah Khan
Vehicles make and model recognition (VMMR) is important for vehicles analysis. A real-time Vehicl... more Vehicles make and model recognition (VMMR) is important for vehicles analysis. A real-time Vehicle Make and Model Recognition (VMMR) system is a significant component of security applications in Intelligent Transportation Systems (ITS). A highly accurate and real-time VMMR system significantly reduces the overhead cost of resources otherwise required. In this paper we present a VMMR based on deep neural network(DNN). Experimental results shows that our deep learning based VMMR achieved high accuracy in real time.
Moving object detection is a task to identify the physical motion of an object in a specific regi... more Moving object detection is a task to identify the physical motion of an object in a specific region or area. Over the last few years, moving object detection has received much attention due to its wide range of applications like video surveillance, human motion analysis, robot navigation, event detection, anomaly detection, video conferencing, traffic analysis and security. In this paper, a framework is proposed for the evaluation of object detection algorithms in surveillance applications using background subtraction and Mixture of Gaussian. Experimental results show that our technique achieved promising accuracy.
In a vehicle license plate identification system, plate region detection is the crucial step befo... more In a vehicle license plate identification system, plate region detection is the crucial step before the ultimate recognition. In most of the traffic-related applications such as searching of stolen vehicles, road traffic monitoring, airport gate monitoring, speed checking and parking access control. This paper is focused on license plate detection, license plate detection in this paper is based on mathematical morphology and considers features like license plate width, height, ratio, and angle. The advantage of the proposed system is that it works for all types of license plates which differ in size and shapes. The proposed system archived promising results.
In automatic video monitoring, real-time detection and in particular shadow elimination are criti... more In automatic video monitoring, real-time detection and in particular shadow elimination are critical to the correct moving objects segmentation since they severely affect the surveillance process. In this paper, we put forward a rapid and flexible approach in which vehicles detection is based on the Gaussian Mixture Model and shadow elimination is based on morphology and edge detection. Experimental results show that the technique achieved promising accuracy.
In recent years, vehicle recognition has become an important application in intelligent traffic m... more In recent years, vehicle recognition has become an important application in intelligent traffic monitoring and management. Vehicle analysis is an essential component in many intelligent applications, such as automatic toll collection, driver assistance systems, self-guided vehicles, intelligent parking systems, and traffic statistics (vehicle count, speed, and flow). The main goal of our study is to extract the information from the moving vehicles like their make, model and type. We address the vehicle detection and recognition problems using Deep Neural Networks (DNNs) approach. Our proposed approach outperforms state-of-the-art method. We first detect the moving vehicle based on frame difference and then extract the frontal part of the vehicle based on symmetrical filter, the frontal part of the vehicle is fed into the deep architecture for recognition. The Top 1 accuracy of proposed VMMTR algorithm is 96.31%.Our method achieves promising results on image.
– Rapid advancement of technology in artificial intelligence and computer science knowledge and t... more – Rapid advancement of technology in artificial intelligence and computer science knowledge and then feel the need to search and secure automated systems are because of the appearance of intelligent systems based on image processing and spread this knowledge.
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Papers by Ihsan Ullah Khan