Intelligent video surveillance: a review through deep learning techniques for crowd analysis
Big data applications are consuming most of the space in industry and research area.
Among the widespread examples of big data, the role of video streams from CCTV cameras …
Among the widespread examples of big data, the role of video streams from CCTV cameras …
Person re-identification: A retrospective on domain specific open challenges and future trends
Abstract Person Re-Identification (Re-ID) is a critical aspect of visual surveillance systems,
which aims to automatically recognize and locate individuals across a multi-camera network …
which aims to automatically recognize and locate individuals across a multi-camera network …
Multilinear subspace learning for Person Re-Identification based fusion of high order tensor features
A Chouchane, M Bessaoudi, H Kheddar… - … Applications of Artificial …, 2024 - Elsevier
Video surveillance image analysis and processing is an important field in computer vision
and among the challenging tasks for Person Re-Identification (PRe-ID). The latter aims at …
and among the challenging tasks for Person Re-Identification (PRe-ID). The latter aims at …
Deep-ReID: Deep features and autoencoder assisted image patching strategy for person re-identification in smart cities surveillance
Abstract Person Re-identification (P-ReID) task searches for true matches of a given query
from a large repository of non-overlapping camera's images/videos. In smart cities …
from a large repository of non-overlapping camera's images/videos. In smart cities …
Vr-proud: Vehicle re-identification using progressive unsupervised deep architecture
Vehicle re-identification (Re-ID) is one of the primary components of an automated visual
surveillance system. It aims to automatically identify/search vehicles in a multi-camera …
surveillance system. It aims to automatically identify/search vehicles in a multi-camera …
Application of deep learning for weapons detection in surveillance videos
TSS Hashmi, NU Haq, MM Fraz… - … conference on digital …, 2021 - ieeexplore.ieee.org
Weapon detection is a very serious and intense issue as far as the security and safety of the
public in general, no doubt it's a hard and difficult task furthermore, its troublesome when …
public in general, no doubt it's a hard and difficult task furthermore, its troublesome when …
Per-former: rethinking person re-identification using transformer augmented with self-attention and contextual mapping
Person re-identification (re-id) is an autonomous process that uses raw surveillance images
to identify a person across multiple non-overlapping camera views without requiring any …
to identify a person across multiple non-overlapping camera views without requiring any …
Partial attention and multi-attribute learning for vehicle re-identification
Intelligent monitoring systems are in increasing need with the rapid growth of traffic
nowadays. Vehicle re-identification has vital applications in digital forensics to track …
nowadays. Vehicle re-identification has vital applications in digital forensics to track …
Learning to rank: An intelligent system for person reidentification
Person reidentification (P‐Reid) is an emerging research domain in the field of information
retrieval that has gained exponential growth due to its wide range of applications in …
retrieval that has gained exponential growth due to its wide range of applications in …
Deep learning algorithms for person re-identification: sate-of-the-art and research challenges
A Yadav, DK Vishwakarma - Multimedia Tools and Applications, 2024 - Springer
Person re-identification has received a lot of attention from the research community in recent
times. Due to its vital role in security based applications, person re-identification lies at the …
times. Due to its vital role in security based applications, person re-identification lies at the …