Semantic Analysis of Precise Detection Rate in Multi-Object Mobility on Natural Scene Using Kalman Filter

Pushpa, D; Sheshadri, H. S.

doi:10.1007/978-81-322-1157-0_23

Cited by 2 publications

(1 citation statement)

References 7 publications

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“…Our prior implementation has offered various techniques to deal with identification, recognition, tracking related issues for various dynamic scenarios of an object [37]- [40]. This part of the proposed system contributes to deal with abnormal event detection with the dynamic mobility of an object within it.…”

Section: Proposed Methodologymentioning

confidence: 99%

A Novel Unsupervised Abnormal Event Identification Mechanism for Analysis of Crowded Scene

Pushpa¹

2017

ijacsa

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Abstract-The advancement of visual sensing has introduced better capturing of the discrete information from a complex, crowded scene for assisting in the analysis. However, after reviewing existing system, we find that majority of the work carried out till date is associated with significant problems in modeling event detection as well as reviewing abnormality of the given scene. Therefore, the proposed system introduces a model that is capable of identifying the degree of abnormality for an event captured on the crowded scene using unsupervised training methodology. The proposed system contributes to developing a novel region-wise repository to extract the contextual information about the discrete-event for a given scene. The study outcome shows highly improved the balance between the computational time and overall accuracy as compared to the majority of the standard research work emphasizing on event detection.

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Section: Proposed Methodologymentioning

confidence: 99%

A Novel Unsupervised Abnormal Event Identification Mechanism for Analysis of Crowded Scene

Pushpa¹

2017

ijacsa

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show abstract

Scale-invariant object identification for jointly addressing issues in moving oject and background

Pushpa

Sheshadri

2015

2015 International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT)

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Semantic Analysis of Precise Detection Rate in Multi-Object Mobility on Natural Scene Using Kalman Filter

Cited by 2 publications

References 7 publications

A Novel Unsupervised Abnormal Event Identification Mechanism for Analysis of Crowded Scene

A Novel Unsupervised Abnormal Event Identification Mechanism for Analysis of Crowded Scene

Scale-invariant object identification for jointly addressing issues in moving oject and background

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