Results 11 to 20 of about 745,987 (299)

Dynamic Multi-Behaviour, Orientation-Invariant Re-Identification of Holstein-Friesian Cattle [PDF]

Sensors
To perform reliable animal re-identification, most available algorithms require standardised animal poses. However, this lack of versatility prevents widespread application of these algorithms in behavioural research and commercial environments.
Maarten Perneel, Ines Adriaens, Jan Verwaeren, Ben Aernouts   +3 more
doaj   +2 more sources

Re-identification of Korean Isolates in the Colletotrichum dematium, C. magnum, C. orchidearum, and C. orbiculare Species Complexes [PDF]

The Plant Pathology Journal
A large number of species in the genus Colletotrichum have been reported as causal agents of anthracnose on crops and wild plants in Korea. Many Colletotrichum isolates from the country preserved in the Korean Agricultural Culture Collection (KACC) were ...
Le Dinh Thao, Hyorim Choi, Donghun Kang, Anbazhagan Mageswari, Daseul Lee, Dong-Hyun Kim, In-Young Choi, Hyeon-Dong Shin, Seung-Beom Hong   +8 more
doaj   +2 more sources

Integration of Tracking, Re-Identification, and Gesture Recognition for Facilitating Human–Robot Interaction [PDF]

Sensors
For successful human–robot collaboration, it is crucial to establish and sustain quality interaction between humans and robots, making it essential to facilitate human–robot interaction (HRI) effectively.
Sukhan Lee, Soojin Lee, Hyunwoo Park
doaj   +2 more sources

Person Re-Identification with Attribute-Guided, Robust-to-Low-Resolution Drone Footage Considering Fog/Edge Computing [PDF]

Sensors
In aerial surveillance using drones, person re-identification (ReID) is crucial for public safety. However, low resolutions in drone footage often leads to a significant drop in ReID performance of subjects. To investigate this issue, rather than relying
Bongjun Kim, Sunkyu Kim, Seokwon Park, Junho Jeong   +3 more
doaj   +2 more sources

Person Re-identification with Correspondence Structure Learning [PDF]

, 2015
This paper addresses the problem of handling spatial misalignments due to camera-view changes or human-pose variations in person re-identification. We first introduce a boosting-based approach to learn a correspondence structure which indicates the patch-
Yang Shen, Weiyao Lin, Junchi Yan, Mingliang Xu, Jianxin Wu, Jingdong Wang   +5 more
openalex   +4 more sources

An Integrated Fusion Engine for Early Threat Detection Demonstrated in Public-Space Trials

Sensors, 2022
Counter terrorism is a huge challenge for public spaces. Therefore, it is essential to support early detection of threats, such as weapons or explosives.
Henri Bouma, Maria Luisa Villani, Arthur van Rooijen, Pauli Räsänen, Johannes Peltola, Sirra Toivonen, Antonio De Nicola, Massimiliano Guarneri, Cristiano Stifini, Luigi De Dominicis   +9 more
doaj   +1 more source

Measuring Re-identification Risk

Proceedings of the ACM on Management of Data, 2023
Compact user representations (such as embeddings) form the backbone of personalization services. In this work, we present a new theoretical framework to measure re-identification risk in such user representations. Our framework, based on hypothesis testing, formally bounds the probability that an attacker may be able to obtain the identity of a user ...
CJ Carey, Travis Dick, Alessandro Epasto, Adel Javanmard, Josh Karlin, Shankar Kumar, Andres Muñoz Medina, Vahab Mirrokni, Gabriel Henrique Nunes, Sergei Vassilvitskii, Peilin Zhong   +10 more
openaire   +2 more sources

Person Re-identification in the Wild [PDF]

2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
We present a novel large-scale dataset and comprehensive baselines for end-to-end pedestrian detection and person recognition in raw video frames. Our baselines address three issues: the performance of various combinations of detectors and recognizers, mechanisms for pedestrian detection to help improve overall re-identification accuracy and assessing ...
Qi Tian, Manmohan Chandraker, Hengheng Zhang, Shaoyan Sun, Liang Zheng, Yi Yang   +5 more
openaire   +3 more sources

Gait recognition for person re-identification [PDF]

The Journal of Supercomputing, 2020
AbstractPerson re-identification across multiple cameras is an essential task in computer vision applications, particularly tracking the same person in different scenes. Gait recognition, which is the recognition based on the walking style, is mostly used for this purpose due to that human gait has unique characteristics that allow recognizing a person
Elharrouss O., Almaadeed N., Al-Maadeed, Somaya, Bouridane A.   +3 more
openaire   +5 more sources

Person Re-identification

, 2021
Abstract— Person re-identification could be essential operation for any multi-camera observation situation. Until presently, it has been performed by misusing fundamentally appearance prompts, hypothesizing that the people cannot alter their clothes.
Md. Mojibur Rahman, Md. Ariful Islam
openaire   +1 more source