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Video-based Person Re-identification with Accumulative Motion Context
[article]
2017
arXiv
pre-print
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context for video based person re-identification, validating our motivation evidently. ...
Video based person re-identification plays a central role in realistic security and video surveillance. ...
As video-based person re-identification involves recognizing a person from a sequence, accumulating the motion context information of each frame at each instant would be helpful to improve the performance ...
arXiv:1701.00193v2
fatcat:suxkybkj6nfynigcpwf5nnoeti
Vision Meets Wireless Positioning: Effective Person Re-identification with Recurrent Context Propagation
[article]
2020
arXiv
pre-print
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In this work, we approach person re-identification with the sensing data from both vision and wireless positioning. ...
Existing person re-identification methods rely on the visual sensor to capture the pedestrians. ...
For video-based person re-identification, many efforts are devoted to modeling the temporal clues along with the video frames. ...
arXiv:2008.04146v2
fatcat:bfgodxur3rasbclqsks76rwiey
Security and Surveillance
[chapter]
2011
Visual Analysis of Humans
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This endeavour is intensified further by the need for understanding a massive quantity of video data, with the aim to comprehend multiple entities not only within a single image but also over time across ...
multiple video frames for understanding their spatio-temporal relations. ...
Visual context is also beneficial for resolving ambiguities from inter-camera tracking or person re-identification. For instance, Zheng et al. ...
doi:10.1007/978-0-85729-997-0_23
fatcat:lodvka4hu5debd7wiovexhca3u
Context-Aware Hypergraph Modeling for Re-identification and Summarization
2016
IEEE transactions on multimedia
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Also, the proposed algorithm is compared with the state of the art person re-identification algorithms on the VIPeR dataset [1]. ...
We consider the problem of person re-identification and tracking, and propose a novel clothing context-aware color extraction method that is robust to such changes. ...
Furthermore, the proposed clothing context-aware person re-identification algorithm is compared with the state-of-the-art person re-identification algorithms in VIPeR dataset. ...
doi:10.1109/tmm.2015.2496139
fatcat:vpnool2wfzdgvdhppf53jagx2y
Person Re-Identification Using Group Information
2013
2013 International Conference on Digital Image Computing: Techniques and Applications (DICTA)
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We demonstrate how this improves performance of person re-identification in a sports environment over appearance based-features. ...
After first observing a person, the task of person re-identification involves recognising an individual at different locations across a network of cameras at a later time. ...
Dataset To evaluate person re-identification using group context, we use team sports video data. ...
doi:10.1109/dicta.2013.6691512
dblp:conf/dicta/BialkowskiLWS13
fatcat:qxcrbzif2nbelhjsxnrmly3ea4
Image-to-Video Person Re-Identification by Reusing Cross-modal Embeddings
[article]
2018
arXiv
pre-print
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Image-to-video person re-identification identifies a target person by a probe image from quantities of pedestrian videos captured by non-overlapping cameras. ...
The experimental results demonstrate the effectiveness of our framework on narrowing down the gap between heterogeneous data and obtaining observable improvement in image-to-video person re-identification ...
Although more information can be obtained from videos, image-to-video re-identification shares the same common challenges with image-based and video-based person reidentification(e.g. similar appearance ...
arXiv:1810.03989v2
fatcat:q3vxzvnukfg25c2nill7y5it2m
Online Identification of Primary Social Groups
[chapter]
2014
Lecture Notes in Computer Science
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In addition to the widely known criteria used in the literature for group identification, we present a novel one, which exploits the motion pattern of the trajectories. ...
Experiments were conducted to provide evidence of the effectiveness of the proposed method with promising results. ...
The predictions made are based on prior accumulated trajectories from the scene, exploiting context awareness. ...
doi:10.1007/978-3-319-04117-9_7
fatcat:cp5pmb7i2bcbnb4nx5v7547cqy
Where-and-When to Look: Deep Siamese Attention Networks for Video-based Person Re-identification
[article]
2018
arXiv
pre-print
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Video-based person re-identification (re-id) is a central application in surveillance systems with significant concern in security. ...
There are two steps crucial to person re-id, namely discriminative feature learning and metric learning. ...
DEEP SIAMESE ATTENTION NETWORKS FOR VIDEO-BASED PERSON RE-IDENTIFICATION In this section, we introduce attention based deep Siamese networks for video-based person re-id. ...
arXiv:1808.01911v2
fatcat:hl64uomz4vfwpihbmelosrtkdi
Person identification from streaming surveillance video using mid-level features from joint action-pose distribution
2015
Video Surveillance and Transportation Imaging Applications 2015
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We propose a real time person identification algorithm for surveillance based scenarios from low-resolution streaming video, based on mid-level features extracted from the joint distribution of various ...
We demonstrate that these mid-level features captures the variation in the action performed with respect to an individual and can be used to distinguish one person from the next. ...
These mid-level features are considered to be unique with respect to each individual and is fed to an SVM 13 based classification framework for person identification. ...
doi:10.1117/12.2083423
fatcat:q3r7rqa5snffpanwvnaqcmbxzm
Video Person Re-Identification using Learned Clip Similarity Aggregation
2020
2020 IEEE Winter Conference on Applications of Computer Vision (WACV)
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We address the challenging task of video-based person re-identification. ...
We also introduce the use of 3D CNNs for video-based re-identification and show their effectiveness by performing equivalent to previous works, which use optical flow in addition to RGB, while using RGB ...
, remain largely unexplored for the task of video-based person re-identification. ...
doi:10.1109/wacv45572.2020.9093510
dblp:conf/wacv/MatiyaliS20
fatcat:gaafr7v3vjbshcr4oshood6dhm
Clip-Level Feature Aggregation: A Key Factor for Video-Based Person Re-identification
[chapter]
2020
Lecture Notes in Computer Science
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In the task of video-based person re-identification, features of persons in the query and gallery sets are compared to search the best match. ...
AAS makes use of all frames in a video sequence to generate a better representation of a person, while RFU investigates how batch normalization operation influences feature representations in person reidentification ...
[17] built a network which can accumulate motion context from adjacent frames by with the help of RNN. ...
doi:10.1007/978-3-030-40605-9_16
fatcat:y4owqk4n4rhfzbp3zqzjk77yh4
GLAMR: Global Occlusion-Aware Human Mesh Recovery with Dynamic Cameras
[article]
2022
arXiv
pre-print
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We present an approach for 3D global human mesh recovery from monocular videos recorded with dynamic cameras. ...
To achieve this, we first propose a deep generative motion infiller, which autoregressively infills the body motions of occluded humans based on visible motions. ...
In Stage I, we preprocess the video with multi-object tracking, re-identification and human mesh recovery to extract each person's occluded motion Q i in the camera coordinates. ...
arXiv:2112.01524v2
fatcat:f3kfqkmzqzdzjhjtrel43ktjtm
Video Person Re-Identification using Learned Clip Similarity Aggregation
[article]
2019
arXiv
pre-print
Preserved Fulltext
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We address the challenging task of video-based person re-identification. ...
We also introduce the use of 3D CNNs for video-based re-identification and show their effectiveness by performing equivalent to previous works, which use optical flow in addition to RGB, while using RGB ...
remain largely unexplored for the task of video based person re-identification. ...
arXiv:1910.08055v1
fatcat:ydjtlv5nwvcm3kre5wnl33l3by
Efficient multi-camera vehicle detection, tracking, and identification in a tunnel surveillance application
2012
Computer Vision and Image Understanding
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This Haar-features based 'tracking-by-identification' yields surprisingly good results on standard datasets, without the need to update the model online. ...
The general multi-camera framework is validated using three tunnel surveillance videos. ...
In terms of multi-camera re-identification some work has been done in the context of multi-camera person tracking. ...
doi:10.1016/j.cviu.2012.02.006
fatcat:yib6ibeg5faqvficbeti2qyhsy
Relation-Guided Spatial Attention and Temporal Refinement for Video-Based Person Re-Identification
2020
PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE
Preserved Fulltext
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Compared with image-based person re-identification, video-based person re-identification is characterized by a much richer context, which raises the significance of identifying informative regions and ...
Video-based person re-identification has received considerable attention in recent years due to its significant application in video surveillance. ...
Related Works Video-based Person Re-Identification. ...
doi:10.1609/aaai.v34i07.6807
fatcat:nudv3a5byvhvpb2pm5rra7kzte
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