Julien A. Vijverberg

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—This paper discusses the design of embedded multi-processor architectures for pixel-level video-content analysis applications in video sequences. First, a number of object segmen-tation computing tasks are analyzed. In order to come to an efficient proposal for a content-analysis processing platform, we have taken five different representative applications(More)
This paper presents a background segmentation technique , which is able to process acceptable segmentation masks under fast global illumination changes. The his-togram of the frame-based background difference is mod-eled with multiple kernels. The model that represents the histogram at best, is used to determine the shift in lumi-nance due to global(More)
This paper presents the design of a robust and real-time traffic-violation detection system for cameras on intersections. We use background segmentation and a novel road-model to obtain the candidate traffic participants. A region-based tracking system, equipped with static occlusion-reasoning, tracks the positions of the objects in the scene. A(More)
This paper considers the problem of tracking a variable number of objects through a surveillance site monitored by multiple cameras with slightly overlapping field-of-views. To this end, we propose to cluster tracklets generated by a commercially available single-camera video-analysis algorithm which is solely based on the position of objects. A first(More)
made for personal use only. Systematic electronic or print reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited. ABSTRACT This paper proposes two novel motion-vector based techniques for target detection and target tracking in surveillance(More)
With the growing number of video content analysis applications, efficient implementation has become increasingly important. Video-object tracking using image moments is an important subtask in video-content analysis content algorithms. In this paper, we will present a method of accelerating the computation of geometrical moments and the resulting moment(More)
c 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprint-ing/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of(More)
This paper describes the application of a Gaussian Mixture Probability Hypothesis Density (GM-PHD) filter for tracking objects in surveillance video. Clark et al. have proposed a point-based GM-PHD filter designed for track label consistency. However, this cannot be used for track consistency when using rectangles covering an object. The proposed solution(More)
made for personal use only. Systematic electronic or print reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited. ABSTRACT This paper presents ongoing work on the design of a two-dimensional (2D) systolic array for image processing. This(More)
This paper describes a novel model for training an event detection system based on object tracking. We propose to model the training as a multiple instance learning problem, which allows us to train the classifier from annotated events despite temporal ambiguities. We apply this technique to realize a Perimeter Intrusion Detection (PID) algorithm and employ(More)
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