Zobrazeno 1 - 10
of 258
pro vyhledávání: '"Tariq S Durrani"'
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 36, Iss 2, Pp 101972- (2024)
Crowd localization can provide the positions of individuals and the total number of people, which has great application value for security monitoring and public management, meanwhile it meets the challenges of lighting, occlusion and perspective effe
Externí odkaz:
https://doaj.org/article/0af4e46606a24724a2a6eb2f48c13fa0
Publikováno v:
IET Computer Vision, Vol 17, Iss 1, Pp 76-87 (2023)
Abstract Cross‐modality person re‐identification is a challenging task due to the large visual appearance difference between RGB and infrared images. Existing studies mainly focus on learning local features and ignore the correlation between loca
Externí odkaz:
https://doaj.org/article/99561d85dc874bf7afab2a6b110784b1
Publikováno v:
IET Computer Vision, Vol 17, Iss 1, Pp 1-12 (2023)
Abstract Cross‐modality person re‐identification (Re‐ID) aims to retrieve a query identity from red, green, blue (RGB) images or infrared (IR) images. Many approaches have been proposed to reduce the distribution gap between RGB modality and IR
Externí odkaz:
https://doaj.org/article/e7b34ecee66c4d78b20f003f9ac74677
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 6121-6132 (2022)
Cloud image segmentation plays an important role in ground-based cloud observation. Recently, most existing methods for ground-based cloud image segmentation learn feature representations using the convolutional neural network (CNN), which results in
Externí odkaz:
https://doaj.org/article/1155b824de8b4306ba116275c82ec92f
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 2745-2758 (2022)
Convolutional neural networks (CNN) has been widely used in the research of multispectral image compression, but they still face the challenge of extracting spectral feature effectively while preserving spatial feature with integrity. In this article
Externí odkaz:
https://doaj.org/article/b6005fa629534c7a81b9b00f54fa5860
Autor:
Shiqiang Zhu, Ting Yu, Tao Xu, Hongyang Chen, Schahram Dustdar, Sylvain Gigan, Deniz Gunduz, Ekram Hossain, Yaochu Jin, Feng Lin, Bo Liu, Zhiguo Wan, Ji Zhang, Zhifeng Zhao, Wentao Zhu, Zuoning Chen, Tariq S. Durrani, Huaimin Wang, Jiangxing Wu, Tongyi Zhang, Yunhe Pan
Publikováno v:
Intelligent Computing, Vol 2 (2023)
Computing is a critical driving force in the development of human civilization. In recent years, we have witnessed the emergence of intelligent computing, a new computing paradigm that is reshaping traditional computing and promoting digital revoluti
Externí odkaz:
https://doaj.org/article/46c2ee480bf74cc78af893d5731cff35
Publikováno v:
Sensors, Vol 23, Iss 19, p 8138 (2023)
Local feature extractions have been verified to be effective for person re-identification (re-ID) in recent literature. However, existing methods usually rely on extracting local features from single part of a pedestrian while neglecting the relation
Externí odkaz:
https://doaj.org/article/297beb09a76f45c6be3337418091b57c
Publikováno v:
Sensors, Vol 23, Iss 17, p 7488 (2023)
As an important representation of scenes in virtual reality and augmented reality, image stitching aims to generate a panoramic image with a natural field-of-view by stitching multiple images together, which are captured by different visual sensors.
Externí odkaz:
https://doaj.org/article/e83e2de709fc46f687136914f71bb372
Publikováno v:
Sensors, Vol 23, Iss 8, p 4011 (2023)
Cross-modality person re-identification (ReID) aims at searching a pedestrian image of RGB modality from infrared (IR) pedestrian images and vice versa. Recently, some approaches have constructed a graph to learn the relevance of pedestrian images of
Externí odkaz:
https://doaj.org/article/5a0d274f64e942bda61871c37d516a6e
Publikováno v:
IEEE Access, Vol 9, Pp 49457-49466 (2021)
Mission-critical sensors and sensor networks (MC-SSN) have been applied to missions such as battlefield, border patrol, search and rescue, critical structure monitoring, and surveillance. To support critical missions, sensors and sensor networks need
Externí odkaz:
https://doaj.org/article/3ef6c625be26435caf22577d63d9f224