The ability to detect pedestrians and other moving objects is crucial for an autonomous vehicle. This must be done in real-time with minimum system overhead. This paper discusses the implementation of a surround view system to identify moving as well as static objects that are close to the ego vehicle. The algorithm works on 4 views captured by fisheye cameras which are merged into a single fra...

In this paper, we propose a fast and easy camera calibration and 3-D measurement method with an active stereo vision system for handling moving objects whose geometric models are known. We adopt the stereo vision system that can change its direction to follow the moving objects. To gain the extrinsic camera parameters in real time, a baseline stereo camera (parallel stereo camera) model and a p...

In this paper, we present an image object tracking system for GPGPU based CAMshift algorithm. For image object tracking, we use the parallel CAMshift tracking algorithm based on the HSV color image distribution of detected moving objects. In this, RGB-to-HSV color conversion, image masking such as open and close operation for image morphology, and computing of centroid are executed in parallel....

Sound-based positioning systems are a potential alternative low-cost navigation system. Recently, we developed such an audible sound-based positioning system, based on a spread spectrum approach. It was shown to accurately localize a stationary object. Here, we extend this localization to a moving object by compensating for the Doppler shift associated with the object movement. Numerical simula...

Modeling moving objects has become a topic of increasing interest in the area of video databases. Two key aspects of such modeling are spatial and temporal relationships. In this paper we introduce an innovative way to represent the trajectory of a single moving object and the relative spatio-temporal relations between multiple moving objects. The representation supports a rich set of spatial t...

Moving Object Tracking is one of the challenging problems in the field of computer vision, surveillance, traffic monitoring, video compression etc. The goal of object tracking is to locate a moving object in consecutive video frames. Normally a video tracking system combines three stages of data treating; object extraction, object recognition & tracking, and decisions about activities. This pap...

Moving object detection and tracking play an important role in the intelligent video surveillance system. The traditional moving object detection algorithm seems sensitive to light and shows poor antiinterference performance. Therefore, a new method is proposed combining the inter-frame difference method with improved background subtraction method which makes use of color and texture informatio...

Visual surveillance systems start with motion detection. Detecting a moving object is always a greater challenge from a real time system. Tracking a moving object adds further the complexity. In this paper, we propose three significant methods. A Background Subtraction method (BS), Storage Reduction (SR), and Mobile Alert (MA).Our proposed BS modelling defines to identify the foreground objects...

Advances in wireless and mobile technology flood us with amounts of moving object data that preclude all means of manual data processing. The volume of data gathered from position sensors of mobile phones, PDAs, or vehicles, defies human ability to analyze the stream of input data. On the other hand, vast amounts of gathered data hide interesting and valuable knowledge patterns describing the b...

An active camera, i.e., pan-tilt-zoom (PTZ) camera, can be used either to monitor a wide area or capture a high resolution image of a specific object by adjusting the zoom value. In order to achieve the above two goals simultaneously just like an eagle’s eye, a novel dual–PTZ-camera system, called Eagle-Eye, is proposed in this paper. The system can keep monitoring the whole area while tracking...