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A terahertz (THz) digital holography system is built using a Gunn oscillator worked at 0.17 THz as the source and a Pyroelectric array camera as the detector array. Image was reconstructed in frequency domain of the hologram by using rectangular windowed filter and angular spectrum theorem was used to restore the complex amplitude of object wave.
To increase the robustness of detection in intelligent video surveillance systems, homography has been widely used to fuse foreground regions projected from multiple camera views to a reference view. The objective of this paper is to detect multiple pedestrians and identify the false-positive detections, which occur due to the foreground intersections of non-corresponding objects, in the top view...
In this paper an object detection algorithm is proposed, which is robust in the presence of cast shadows and is based on geometric projections. The novelty of the work lies in the use of homology mapping of the foreground regions between different parallel planes within a monocular view, unlike some existing algorithms which depend on the use of multiple cameras. The results on an open video dataset...
An object detection algorithm which can remove moving cast shadows is presented. It is based on the homography mapping of foreground regions from multiple cameras. Not only the homography for the ground plane but also those for multiple parallel planes are employed. Unlike the existing geometric approaches, this algorithm removes cast shadows while keeping the feet of moving objects.
To increase the robustness of detection in intelligent video surveillance systems, homography has been widely used to fuse foreground regions projected from multiple camera views to a reference view. However, the intersections of non-corresponding foreground regions can cause phantoms. This paper proposes a colour statistical approach to cope with this problem. This method is based on the Mahalanobis...
A real-time object detection algorithm by using multiple cameras is proposed. The information fusion is based on homographic transformation of the foreground information from multiple cameras to a reference image. Unlike the most recent algorithms which transmit and project foreground bitmap images, we approximate the contour of each foreground region with a polygon and only transmit and project the...
This paper presents an object detection algorithm using multiple cameras, which is robust in the presence of cast shadows. The information fusion is based on homography mapping of the foreground regions to a top view image. The homography is based on multiple planar planes parallel to the ground plane. Two novel approaches to estimating such homography have been proposed. The results on an open video...
In this paper, model-based approaches for real-time 3-D soccer ball tracking are proposed, using image sequences from multiple fixed cameras as input. The main challenges include filtering false alarms, tracking through missing observations, and estimating 3-D positions from single or multiple cameras. The key innovations are: 1. incorporating motion cues and temporal hysteresis thresholding in ball...
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