Global ETD Search
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Showing 1 to 10 of 10 for “"person re-identification"”.
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Person Re-identification and an Adversarial Attack and Defense for Person Re-identification Networks
<p>Person re-identification (ReID) is the task of retrieving the same person, across different camera views or on the same camera view captured at a different time, given a query person of interest. There has been great interest and significant progress in person ReID, which is important for …
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Person Re-identification And An Adversarial Attack And Defense For Person Re-identification Networks
<p>Person re-identification (ReID) is the task of retrieving the same person, across different camera views or on the same camera view captured at a different time, given a query person of interest. There has been great interest and significant progress in person ReID, which is important for …
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Towards accurate person re-identification by deep learning
Artificial intelligence surveillance has become increasingly popular due to its security applications. Within this field, person re-identification (re-ID) is a. crucial topic, which aims at matching images of a person in one camera with the images of this person from other cameras. Considering the …
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Superpixels for Hyperspectral Image Analysis
… sensors, hyperpsectral data has become increasingly popular, necessitating development of algorithms for robust image analysis with such data. This thesis contributes methods that efficiently and robustly exploits superpixels for hyperspectral data. We study and quantify the efficacy of …
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An Interactive Pedestrian Re-Identification Tool with Semantic Based Re-Identification
Person re-identification is an essential task of recognizing and matching people from non-overlapping cameras. A typical application of person re-identification is identifying a particular person in a gallery of pedestrian images from a camera with one or more given probe images of this person from …
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A Supervised Low-Rank Matrix Decomposition for Matching
Human identification from images captured in unconstrained scenarios is still an unsolved problem, which finds applications in several areas, ranging from all the settings typical of video surveillance, to robotics, metadata enrichment of social media content, and mobile applications. The most …
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Attention mechanism in deep neural networks for computer vision tasks
… language processing for enhancing the feature representation of key sentence fragments over the context. In recent years, the attention mechanism has been widely adopted in solving computer vision tasks by guiding deep neural networks (DNNs) to focus on specific image features for better …
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Re-identification and semantic retrieval of pedestrians in video surveillance scenarios
Person re-identification consists of recognizing individuals across different sensors of a camera network. Whereas clothing appearance cues are widely used, other modalities could be exploited as additional information sources, like anthropometric measures and gait. In this work we investigate …
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Deep learning with very few and no labels
Deep neural networks have achieved remarkable performance in many computer vision applications such as image classification, object detection, instance segmentation, image retrieval, and person re-identification. However, to achieve the desired performance, deep neural networks often need a …
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Person ReID in Different Environment Settings Using Deep Learning Methods
Person Re-identification (Person ReID) is an essential research area in vision-based human image retrieval. It is a technology where the system can automatically identify the same person appearing in different camera views. Most existing works in this area focus on settings where the environment is …