Data Driven Processing Via Two-Dimensional Spearman Correlation Analysis (2D-SCA)

Khokhar, Muhammad Saddam; Cheng, Kang; Ayoub, Misbah; Zakria,; Rub, Nida E

doi:10.1109/macs48846.2019.9024798

Cited by 2 publications

(2 citation statements)

References 19 publications

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“…However, due to surveillance cameras on the roads for smart cities and traffic management, the demand to perform vehicle search from the gallery set is increased. Vehicle re-id is similar to several other applications, such as person re-id [10], behavior analysis [11], cross-camera tracking [12], vehicle classification [13], object retrieval [14], object recognition [15,16], and so on.…”

Section: Re-identificationmentioning

confidence: 93%

Trends in Vehicle Re-Identification Past, Present, and Future: A Comprehensive Review

Zakria¹,

Deng²,

Khokhar³

et al. 2021

Mathematics

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Vehicle Re-identification (re-id) over surveillance camera network with non-overlapping field of view is an exciting and challenging task in intelligent transportation systems (ITS). Due to its versatile applicability in metropolitan cities, it gained significant attention. Vehicle re-id matches targeted vehicle over non-overlapping views in multiple camera network. However, it becomes more difficult due to inter-class similarity, intra-class variability, viewpoint changes, and spatio-temporal uncertainty. In order to draw a detailed picture of vehicle re-id research, this paper gives a comprehensive description of the various vehicle re-id technologies, applicability, datasets, and a brief comparison of different methodologies. Our paper specifically focuses on vision-based vehicle re-id approaches, including vehicle appearance, license plate, and spatio-temporal characteristics. In addition, we explore the main challenges as well as a variety of applications in different domains. Lastly, a detailed comparison of current state-of-the-art methods performances over VeRi-776 and VehicleID datasets is summarized with future directions. We aim to facilitate future research by reviewing the work being done on vehicle re-id till to date.

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Section: Re-identificationmentioning

confidence: 93%

Trends in Vehicle Re-Identification Past, Present, and Future: A Comprehensive Review

Zakria¹,

Deng²,

Khokhar³

et al. 2021

Mathematics

View full text Add to dashboard Cite

show abstract

“…Second deep face recognition model is customized, The paper comparing Inception-V3 model with Openface model. The purpose of Inception architecture is to decrease the computational virtual resources by usage in extremely correct image classification using deep learning [9] [38]. It has developed on the basis of GoogleNet architecture [31] [9].…”

Section: B Inception-v3 Deep Learning Modelmentioning

confidence: 99%

Efficient Face Re-Identification through PSO Based Adaptive Deep Learning Models

Khokhar¹,

Ayoub²,

Jamali³

et al. 2021

JISR-C

Self Cite

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Face plays a vital role in the Recognition or Re-Identification of a person. Therefore, it is significant to identify and extract the facial visual features that automatically lead to face identification-based classification. Facial features comprise different ways of detection, for instance, they could be located at corners or midpoints of the facial features that rely on multiple components such as eyes, lips, nose with different emotions and expressions used in face recognition. This paper introduced a robust and efficient deep learning model with the use of a transfer learning approach for PSO for extraction and selection of the best facial features. Deep learning models “Openface via PSO and introduced customized Inception-V3 model via PSO is used and present detailed comparative accuracy of both models in terms of classification recognition. For this, the paper presents seven different algorithms to evaluate the efficiency of the model with four different face databases. It is evident from the result; neural network classifier shows a gradual hike to calculate accuracy with the proposed PSO-based OpenFace deep learning approach. On the other hand, random forest and AdaBoost algorithm were observed most compatible with the customized PSO-based Inception-V3 model.

show abstract

Data Driven Processing Via Two-Dimensional Spearman Correlation Analysis (2D-SCA)

Cited by 2 publications

References 19 publications

Trends in Vehicle Re-Identification Past, Present, and Future: A Comprehensive Review

Trends in Vehicle Re-Identification Past, Present, and Future: A Comprehensive Review

Efficient Face Re-Identification through PSO Based Adaptive Deep Learning Models

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