Results 231 to 240 of about 117,086 (262)

Person Re-identification by Salience Matching

2013 IEEE International Conference on Computer Vision, 2013
Human salience is distinctive and reliable information in matching pedestrians across disjoint camera views. In this paper, we exploit the pair wise salience distribution relationship between pedestrian images, and solve the person re-identification problem by proposing a salience matching strategy.
Rui Zhao 0001, Wanli Ouyang, Xiaogang Wang 0001   +2 more
openaire   +1 more source

An improved baseline for person re-identification

Proceedings of the 2nd International Conference on Artificial Intelligence and Pattern Recognition, 2019
Person re-identification(Re-ID) using deep learning has made great progress in the past few years, but there is one problem that many state-of-the-art Re-ID methods all use a complex network most of which use the structure of multi-branch and multi-loss function. At present, the database used for Person re-identification is relatively small.
Yu Liu, Youdong Ding
openaire   +1 more source

View-Aware Person Re-identification

2019
Appearance-based person re-identification (PRID) is currently an active and challenging research topic. Recently proposed approaches have mostly dealt with low- and middle-level processing of images. Furthermore, there is very limited research that has focused on view information.
Gregor Blott, Jie Yu 0013, Christian Heipke   +2 more
openaire   +1 more source

Transferring attributes for person re-identification

2015 12th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 2015
Person re-identification is an important computer vision task with many applications in areas such as surveillance or multimedia. Approaches relying on handcrafted image features struggle with many factors (e.g. lighting, camera angle) which lead to a large variety in visual appearance for the same individual. Features based on semantic attributes of a
Schumann, Arne, Stiefelhagen, Rainer
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Taichi distance for person re-identification

2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017
Metric learning is an important issue in person re-identification, and Mahalanobis-distance based metric learning methods prevail in this field. All of these approaches can be considered as equivalently projecting all samples to a new metric space and calculating the Euclidean distance there.
Wang, Zheng, Hu, Ruimin, Yu, Yi, Liang, Chao, Chen, Chen   +4 more
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Reference-based person re-identification

2013 10th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2013
Person re-identification refers to recognizing people across non-overlapping cameras at different times and locations. Due to the variations in pose, illumination condition, background, and occlusion, person re-identification is inherently difficult. In this paper, we propose a reference-based method for across camera person re-identification.
Le An, Mehran Kafai, Songfan Yang, Bir Bhanu   +3 more
openaire   +1 more source

Active learning for person re-identification

2012 International Conference on Machine Learning and Cybernetics, 2012
Person re-identification is defined as to find the same person who re-occurred in a multi-camera surveillance system. Existing machine learning approaches focus on extracting or learning discriminative features followed by template matching using a distance measure. However, labeling images for a training set is a time consuming task.
openaire   +1 more source

Cross Dataset Person Re-identification

2015
Until now, most existing researches on person re-identification aim at improving the recognition rate on single dataset setting. The training data and testing data of these methods are form the same source. Although they have obtained high recognition rate in experiments, they usually perform poorly in practical applications. In this paper, we focus on
Yang Hu, Dong Yi, Shengcai Liao, Zhen Lei 0001, Stan Z. Li   +4 more
openaire   +1 more source

Learning Person Re-Identification Models From Videos With Weak Supervision

IEEE Transactions on Image Processing, 2021
, Amit Roy-Chowdhury, Sujoy Paul
exaly  

Gait-based Person Re-identification

ACM Computing Surveys, 2020
Jacinto Nascimento, Athira Nambiar, Alexandre Bernardino   +2 more
exaly