Anomaly detection in group activities based on fuzzy lattices using Schrödinger equation

Kapoor, Rajiv; Mishra, Om; Tripathi, M. M.

doi:10.1007/s42044-019-00045-y

Cited by 6 publications

(3 citation statements)

References 29 publications

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“…The main disadvantage of these methodologies is that they give only motion information but no information about the structure. Methodologies reported in literature [15][16][17][18][19][20][21][22] based on silhouette analysis have a major contribution to human action recognition. Kapoor et al [15] have used average energy silhouette images whereas a hybrid classifier is used for action recognition by Mishra et al [16].…”

Section: Introductionmentioning

confidence: 99%

“…Methodologies reported in literature [15][16][17][18][19][20][21][22] based on silhouette analysis have a major contribution to human action recognition. Kapoor et al [15] have used average energy silhouette images whereas a hybrid classifier is used for action recognition by Mishra et al [16]. Wu and Shao [17] used hybrid features which include both global and local features.…”

Section: Introductionmentioning

confidence: 99%

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Modal Frequencies Based Human Action Recognition Using Silhouettes And Simplicial Elements

Kavimandan

Mishra

Kapoor

2022

IJE

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Human action recognition has been a pioneer research problem among researchers. This paper proposed a new local feature descriptor in terms of modal frequency using silhouette and simplicial elements of a silhouette with the help of Finite Element Analysis (FEA). This local descriptor represents the distinctive human poses in the form of modal frequency. These modal frequencies reduce the feature dimension and represent a wide range of poses of human action. These modal frequencies are subject to the stiffness matrix of the body that is associated with the displacement. The silhouettes of the human body are used for the analysis. These silhouettes are represented into simplicial elements. The modal frequencies of silhouettes are calculated using simplicial elements. These modal frequencies of the silhouette are used as the feature vectors that are given to the Radial Basis Function-Support Vector Machine (RBF-SVM) classifier. The challenging datasets Weizmann, KTH and IXMAS are used for validation of the proposed methodology.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Modal Frequencies Based Human Action Recognition Using Silhouettes And Simplicial Elements

Kavimandan

Mishra

Kapoor

2022

IJE

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“…They have proposed using ensemble random projection-based reconstruction loss neural network that is a novel three staged framework to detect anomaly in a video. In [9] authors have used Schrödinger equation to detect anomaly in a video during run time. They proposed to use change in the kinetic energy at the scene as a criterion to classify if the video belongs to the normal or abnormal class.…”

Section: Introductionmentioning

confidence: 99%

Graph based anomaly detection in human action video sequence

Kavimandan

Kapoor

Yadav

2022

Journal of Electrical Engineering

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In our paper, we have proposed to use graphs to detect anomaly in human action video. Although the detection of anomaly is a widely researched topic, but very few researchers have detected anomaly in action video using graphs. in our proposed method we have represented the smaller section (sub-section) of our input video as a graph where vertices of the graph are the space time interest points in the sub-section video and the association between the space time interest points exists. Thus, graphs for each sub section are created to look for a repeated substructure. We believe most of the actions inherently are repeated in nature. Thus, we have tried to capture the repetitive sub-structure of the action represented as a graph and used this repetitive sub-structure to compress the graph. If the compressed graph has few elements that have not been compressed, we suspect them as anomaly. But the threshold value takes care not to make the proposed method very much sensitive towards the few uncompressed elements. Our proposed method has been implemented on locally created “extended KTH” and “extended Weizmann” datasets with good accuracy score. The proposed method can also be extended for few more applications such as training athletes and taking elderly care.

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