Optical flow and spatio-temporal gradient based abnormal behavior detection

Jin, Dongliang; Zhu, Shiping; Sun, Xian; Liang, Zhiwei; Xu, Guoqing

doi:10.1109/ccdc.2016.7531227

Cited by 5 publications

(4 citation statements)

References 6 publications

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“…5 indicates the area in which we can see the superiority of the BQU as shown in Figs. 7. Actually, the BQU clearly extracted two persons without shadowing at their feet, though the MODE extracted them with the shadows.…”

Section: Performance Evaluation Of Bqu Algorithmmentioning

confidence: 98%

“…The explosion of those video data to be processed became a moment for developing methods to recognize human behavior and to detect persons automatically who took suspicious behaviors, and many methods have been developed (1,-4) . Most of them were based on the person tracking (5)(6)(7) , where person one-by-one detection and/or recognition were required before the tracking. They often adopted a background subtraction algorithm for the person detection in video scenes (7)(8)(9) .…”

Section: Introductionmentioning

confidence: 99%

“…Most of them were based on the person tracking (5)(6)(7) , where person one-by-one detection and/or recognition were required before the tracking. They often adopted a background subtraction algorithm for the person detection in video scenes (7)(8)(9) .…”

Section: Introductionmentioning

confidence: 99%

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Detection of Different Behavior from The Majority in A Public Space

Saito

Hanaizumi

2017

Proceedings of the 5th IIAE International Conference on Industrial Application Engineering 2017

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A measurement method was proposed for observing movements of persons in a public space such as a railway station. The method was based on the fact that a person occupied a 3D region and his or her sequential images captured by a security camera formed a wormhole in the spatiotemporal image space. Direction of the majority of those wormholes was estimated as movement direction of the majority by a projection algorithm. After filling the majority wormholes, remaining ones were searched and recognized as different behavior persons. A high-accuracy person extraction algorithm was also developed for preventing wormholes enlargement mainly caused by persons' shadow. An inter-frame difference technique was adopted for realizing the quick updating the background. The method was successfully applied to a security camera video for detecting different behaviors from the majority.

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Section: Performance Evaluation Of Bqu Algorithmmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

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Detection of Different Behavior from The Majority in A Public Space

Saito

Hanaizumi

2017

Proceedings of the 5th IIAE International Conference on Industrial Application Engineering 2017

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“…A lot of security cameras have been introduced to crowded public spaces in recent years. A large number of methods (1)(2)(3)(4)(5) also have been developed for detecting suspicious things like left baggage and/or persons with unusual behaviors. Most of them required a kind of binarization process for recognizing moving persons before analyzing their behaviors.…”

Section: Introductionmentioning

confidence: 99%

A Method for Deteting Baggage Left in A Crowded Public Space

Saito

Hanaizumi

2018

Proceedings of the 6th IIAE International Conference on Intelligent Systems and Image Processing 2018

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A new background subtraction method was proposed for detecting baggage left in a crowded public space with high accuracy and high stability. Those properties came from the combination of an inter-frame subtraction method with a mode image one. The background was rapidly updated by the former and was also slowly changed by the latter. The combination of them enabled us to extract moving object with high accuracy. A newly added switching process eliminated pixels extracted as the moving object from the calculation for the mode values as the background. Thus, the background was kept while the object was extracting. The switching process was reset, when the difference between the observation and the background fell below a threshold. The proposed method was successfully applied to detecting a left bag.

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Hierarchical detection of abnormal behaviors in video surveillance through modeling normal behaviors based on AUC maximization

Feizi

2019

Soft Comput

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Optical flow and spatio-temporal gradient based abnormal behavior detection

Cited by 5 publications

References 6 publications

Detection of Different Behavior from The Majority in A Public Space

Detection of Different Behavior from The Majority in A Public Space

A Method for Deteting Baggage Left in A Crowded Public Space

Hierarchical detection of abnormal behaviors in video surveillance through modeling normal behaviors based on AUC maximization

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