Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Beyond Tracking in Crowd: Analyzing Crowd based on Physical Characteristics

Version 1 : Received: 9 August 2020 / Approved: 19 August 2020 / Online: 19 August 2020 (07:49:37 CEST)

How to cite: Siraj, M. Beyond Tracking in Crowd: Analyzing Crowd based on Physical Characteristics. Preprints 2020, 2020080396 (doi: 10.20944/preprints202008.0396.v1). Siraj, M. Beyond Tracking in Crowd: Analyzing Crowd based on Physical Characteristics. Preprints 2020, 2020080396 (doi: 10.20944/preprints202008.0396.v1).

Abstract

The safety of people is an important phenomenon nowadays. This importance arises due to the crowded places including subway station, universities, colleges, airport, shopping mall and square, and city squares. Therefore, the development of an effective system based on physical characteristics of crowd layout is of significant demand. In this paper, we proposed a novel automated and intelligent systems for crowd event analysis based on a set of physical elements. For this purpose, we take into account optical flow and spatial-time gradient, contour features, and Gaussian processes. Our method combine these characteristics into a unique model to deal with the challenging problem of crowd event analysis. For evaluating our proposed method, we consider a benchmark dataset and a number of different performance metrics. These analysis demonstrate the robustness and effectiveness of our proposed method.

Subject Areas

crowd analysis; tracking; people safety; crowd features; localized features

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