Moving Object Detection and Tracking for the Purpose of Multimodal Surveillance System in Urban Areas

Czyżewski, Andrzej; Dalka, Piotr

doi:10.1007/978-3-540-68127-4_8

Cited by 14 publications

(6 citation statements)

References 6 publications

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“…This model is constructed with the use of Gaussian mixture models (for background subtraction), morphological operations, and BLOB analysis (performed to connect pixels corresponding to adequate moving objects). Motion of each person is estimated and predicted with the Kalman filter [5] in order to track them continuously. The vision.KalmanFilter [3] module is used.…”

Section: Moving Objects Detection and Trackingmentioning

confidence: 99%

New Approach To Traffic Density Estimation Based On Indoor And Outdoor Scenes From CCTV

Chmielewska

Parzych

Marciniak

et al. 2015

Foundations of Computing and Decision Sciences

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Abstract. In this paper we present an algorithm for precise estimation of moving objects density (typically people and vehicles) in indoor and outdoor scenes. Automatic generation of the so-called density maps is based on video sequences acquired by surveillance systems. Our approach offers two types of solutions. The first one increments the accumulation table when a moving object is detected in a location of interest, delivering a density map of the presence of moving objects. The second algorithm increments the accumulation table only in cases of detecting a new moving object, resulting in a density map of the count of moving objects. The proposed algorithms were tested with the use of PETS 2009 database and with our own database of long-term video recordings. Finally, results of the density maps visualization and determination of the "busy hours" are presented.

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Section: Moving Objects Detection and Trackingmentioning

confidence: 99%

New Approach To Traffic Density Estimation Based On Indoor And Outdoor Scenes From CCTV

Chmielewska

Parzych

Marciniak

et al. 2015

Foundations of Computing and Decision Sciences

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“…The discussed meter is fully configurable in terms of acquisition time, applied correction curve (A, C) and sensitivity. A high resolution IP camera acquires the video signal for further analysis, such as road traffic volume and characteristics estimation (Czyżewski, Dalka, 2008). Due to the mobility, modular built and compact casing, this device may be used for monitoring acoustic climate in closed and opened spaces.…”

Section: Hardwarementioning

confidence: 99%

“…The measurements of working hours (8)(9)(10)(11)(12)(13)(14)(15)(16) are considered. The equivalent noise level in considered schools before and after acoustic treatment along with the noise level difference were presented in Figs.…”

Section: Analysis In 1/3 Octave Bandsmentioning

confidence: 99%

Long-Term Comparative Evaluation of Acoustic Climate in Selected Schools Before and After Acoustic Treatment

Kotus

Szczodrak

Czyżewski

et al. 2010

Archives of Acoustics

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The results of long-term continuous noise measurements in two selected schools are presented in the paper. Noise characteristics were measured continuously there for approximately 16 months. Measurements started eight months prior to the acoustic treatment of the school corridors of both schools. An evaluation of the acoustic climates in both schools, before and after the acoustic treatment, was performed based on comparison of these two periods of continuous measurements. The autonomous noise monitoring stations, engineered at the Multimedia Systems Department of the Gdańsk University of Technology were used for this purpose. Investigations of measured noise, especially its influence on hearing sense, assessed on ground of spectral analyses in critical bands, is discussed. Effects of occupational noise exposure, including the Temporary Threshold Shift simulation, are determined. The correlation of the above said measurement results with respective instantaneous noise levels is discussed, and concluding remarks are presented. Some additional indicators such as air pollution or video analysis aiming at the analysis of corridor occupancy are also measured. It should be remembered that excessive noise, or air pollution may be evidence of a dangerous event and may pose health risks.

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“…Tracking objects in a single camera is based on visual features of a moving object which differ from a background of a video image [1], [2]. Unfortunately such an approach is not suitable for the posed problem of re-identification of the same object in two different cameras.…”

Section: Introductionmentioning

confidence: 99%

Pawlak's flow graph extensions for video surveillance systems

Lisowski¹,

Czyżewski²

2015

Annals of Computer Science and Information Systems

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Abstract-The idea of the Pawlak's flow graphs is applicable to many problems in various fields related to decision algorithms or data mining. The flow graphs can be used also in the video surveillance systems. Especially in distributed multi-camera systems which are problematic to be handled by human operators because of their limited perception. In such systems automated video analysis needs to be implemented. Important part of this analysis is tracking object within a single camera and between cameras' fields of vision. One of element needed to re-identify the single real object besides object's visual features and spatiotemporal dependencies between cameras is a behaviour model. The flow graph after some modifications, is a suitable data structure, which concept is based on the rough set theory, to contained as a behaviour model in it. Additionally, the flow graph can be used to predict the future movement of given object. In this paper a survey of authors research works related to employing flowgraphs in video surveillance systems is contained. The flow graph creation based on the paths of objects inside supervised area will presented. Moreover, a method of building a probability tree on the basis of the flow graph and a method for adapting the flowgraph to the changing topology of the camera network are also discussed.

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Moving Object Detection and Tracking for the Purpose of Multimodal Surveillance System in Urban Areas

Cited by 14 publications

References 6 publications

New Approach To Traffic Density Estimation Based On Indoor And Outdoor Scenes From CCTV

New Approach To Traffic Density Estimation Based On Indoor And Outdoor Scenes From CCTV

Long-Term Comparative Evaluation of Acoustic Climate in Selected Schools Before and After Acoustic Treatment

Pawlak's flow graph extensions for video surveillance systems

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