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SIE: infrared and visible image fusion based on scene information embedding
In this article, we proposed an infrared and visible image fusion method based on scene information embedding, which is to obtain an fused image with...
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Attributes Based Visible-Infrared Person Re-identification
Visible-infrared person re-identification (VI-ReID) is a challenging cross-modality pedestrian retrieval problem. Although there is a huge gap...
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Semantic Guided Attention for Weakly Supervised Group Activity Recognition
The objective of group activity recognition is to identify behaviors performed by multiple individuals within a given scene. However, current weakly...
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J-LDFR: joint low-level and deep neural network feature representations for pedestrian gender classification
Appearance-based gender classification is one of the key areas in pedestrian analysis, and it has many useful applications such as visual...
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A new hybrid information fusion method for trajectory prediction
Pedestrian trajectory prediction has numerous applications in various fields, such as autonomous driving, advanced video surveillance, etc. The...
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Search on dual-space: discretization accuracy-based architecture search for person re-identification
Network architectures automatically generated for person re-identification (re-ID) using neural architecture search (NAS) algorithms exhibit unique...
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MBA-Net: multi-branch attention network for occluded person re-identification
Occluded person re-identification (ReID) aims to retrieve the same pedestrian from partially occluded pedestrian images across non-overlap**...
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Research on Pedestrian Attribute Recognition Based on Semantic Segmentation in Natural Scene
Smart city is a new term given to society by technology, and cameras are important infrastructure for building a smart city. How to use camera...
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A comprehensive survey of visible infrared person re-identification from an application perspective
Person re-identification (ReID) is a significant issue in computer vision, aiming to match the same pedestrian across various cameras. Recent...
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Video-based person re-identification with scene and person attributes
Person re-identification (Re-ID) is an essential computer vision task retrieving a person of interest across multiple non-overlap** cameras. In...
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Progressive spatial–temporal transfer model for unsupervised person re-identification
Over the past decade, a more widespread area of computer vision research has been person re-identification (P-Reid). This technology is applied in...
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Part-pixel transformer with smooth alignment fusion for domain adaptation person re-identification
The method of generating pseudo-labels by clustering is proved to be effective in unsupervised domain adaptation (UDA) person re-identification...
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Key frame extraction method with global information balance
Key frame extraction can provide evidence for traffic violation detection, which is essential to support administrative punishment. However, the...
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Multi-receptive field attention for person re-identification
Person re-identification is a challenging yet meaningful task to match two pedestrian images captured from non-overlap** cameras for public...
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MSE-Net: Pedestrian Attribute Recognition Using MLSC and SE-Blocks
Pedestrian attributes recognition draw significant interest in the field of intelligent video surveillance. Despite that the convolutional neural...
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A Survey of Deep Facial Attribute Analysis
Facial attribute analysis has received considerable attention when deep learning techniques made remarkable breakthroughs in this field over the past...
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Identifying the walking patterns of visually impaired people by extending white cane with smartphone sensors
The loss of or impairment in vision makes it challenging for blind and visually impaired people (BVIP) to navigate easily in their surroundings....
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Large-Scale Agricultural Pest and Disease Datasets
As we know, the deep learning-based recognition and detection methods are data-driven. Building large-scale datasets with less bias is critical for...
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Research of image recognition method based on enhanced inception-ResNet-V2
In order to improve the accuracy of CNN (convolutional neural network) in image classification, an enhanced Inception-ResNet-v2 model based on CNN is...
