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EdgeGuard-AI: Zero-Trust and Load-Aware Federated Scheduling for Secure and Low-Latency IoT Edge Networks. [PDF]
Sensors (Basel)Alanazi AG, Alanazi HA.
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Quality-Aware Feature Aggregation Network for Robust RGBT Tracking
IEEE Transactions on Intelligent Vehicles, 2021RGBT tracking becomes a popular computer vision task, and has a variety of applications in visual surveillance systems, self-driving cars and intelligent transportation system. This paper investigates how to perform robust visual tracking in adverse and challenging conditions using complementary visual and thermal infrared data (RGBT tracking).
Yabin Zhu +3 more
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Intelligent human hand gesture recognition by local–global fusing quality-aware features
Future Generation Computer Systems, 2021Abstract Each normal human has pairwise hands, which can make sophisticated hand gestures delivering different semantic meanings. In practice, disabled persons can communicate with each other by their hand gestures. However, for normal people without specific training process, it is challenging for them to understand the meaning of the various hand ...
Tao Song +5 more
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Face detection on distorted images using perceptual quality-aware features
SPIE Proceedings, 2014We quantify the degradation in performance of a popular and effective face detector when human–perceived image quality is degraded by distortions due to additive white gaussian noise, gaussian blur or JPEG compression. It is observed that, within a certain range of perceived image quality, a modest increase in image quality can drastically improve ...
Suriya Gunasekar +2 more
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Deeply fusing multi-model quality-aware features for sophisticated human activity understanding
Signal Processing: Image Communication, 2020Abstract Detecting and understanding human action under sophisticated lighting condition and backgrounds, also known as human action recognition in real-world context, is an indispensable component in modern intelligent systems and has becoming a hot research topic currently.
Xiaoli Liu, Zhibin Li
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Future Generation Computer Systems, 2021
Abstract Classification, recognition, and quality assessment of aerial images strongly depends on detecting and identifying their discriminative visual features. In practice, aerial images provide clues for various applications, including disaster prediction, automatic navigation, and military target detection.
Yuanjin Xu, Ming Wei, M.M. Kamruzzaman
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Abstract Classification, recognition, and quality assessment of aerial images strongly depends on detecting and identifying their discriminative visual features. In practice, aerial images provide clues for various applications, including disaster prediction, automatic navigation, and military target detection.
Yuanjin Xu, Ming Wei, M.M. Kamruzzaman
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Face Detection on Distorted Images Augmented by Perceptual Quality-Aware Features
IEEE Transactions on Information Forensics and Security, 2014Motivated by the proliferation of low-cost digital cameras in mobile devices being deployed in automated surveillance networks, we study the interaction between perceptual image quality and a classic computer vision task of face detection. We quantify the degradation in performance of a popular and effective face detector when human-perceived image ...
Suriya Gunasekar +2 more
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