Detecting Objects Thrown over Fence in Outdoor Scenes

Csordás, Róbert; Havasi, László; Szirányi, Tamás

doi:10.5220/0005315505930599

Cited by 4 publications

(2 citation statements)

References 6 publications

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“…Garbage dumping actions occur frequently and are considered an important event in surveillance but they have not been studied well in previous studies. There are several studies to detect the garbage dumping by establishing a specific problem, that is, throwing objects across a fence [15] or from a vehicle [16] and classifying the clean road and garbage area [17,18]. However, these methods do not use the general surveillance camera installed at a high position and detect the garbage instead of understanding why the person threw the trash.…”

Section: Related Work Smentioning

confidence: 99%

Vision‐based garbage dumping action detection for real‐world surveillance platform

Yun

Kwon

et al. 2019

ETRI Journal

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In this paper, we propose a new framework for detecting the unauthorized dumping of garbage in real‐world surveillance camera. Although several action/behavior recognition methods have been investigated, these studies are hardly applicable to real‐world scenarios because they are mainly focused on well‐refined datasets. Because the dumping actions in the real‐world take a variety of forms, building a new method to disclose the actions instead of exploiting previous approaches is a better strategy. We detected the dumping action by the change in relation between a person and the object being held by them. To find the person‐held object of indefinite form, we used a background subtraction algorithm and human joint estimation. The person‐held object was then tracked and the relation model between the joints and objects was built. Finally, the dumping action was detected through the voting‐based decision module. In the experiments, we show the effectiveness of the proposed method by testing on real‐world videos containing various dumping actions. In addition, the proposed framework is implemented in a real‐time monitoring system through a fast online algorithm.

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Section: Related Work Smentioning

confidence: 99%

Vision‐based garbage dumping action detection for real‐world surveillance platform

Yun

Kwon

et al. 2019

ETRI Journal

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“…Other studies in [4] and [18] concentrate on the trajectories of moving objects. The authors fit parabolic trajectories into the potential trajectories.…”

Section: A Throwing Action Detectionmentioning

confidence: 99%

Detection of object throwing behavior in surveillance videos

Kersten¹,

Akdag²,

Bondarev³

et al. 2023

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TinyThrow - Improved Lightweight Real-Time High-Rise Littering Object Detection Algorithm

Ji,

Qian

2024

Proceedings in Adaptation, Learning and Optimization

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Detecting Objects Thrown over Fence in Outdoor Scenes

Cited by 4 publications

References 6 publications

Vision‐based garbage dumping action detection for real‐world surveillance platform

Vision‐based garbage dumping action detection for real‐world surveillance platform

Detection of object throwing behavior in surveillance videos

TinyThrow - Improved Lightweight Real-Time High-Rise Littering Object Detection Algorithm

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