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Gait-based person re-identification: A survey
The way people walk is a strong correlate of their identity. Several studies have shown that
both humans and machines can recognize individuals just by their gait, given that proper …
both humans and machines can recognize individuals just by their gait, given that proper …
Learning from theodore: A synthetic omnidirectional top-view indoor dataset for deep transfer learning
Recent work about synthetic indoor datasets from perspective views has shown significant
improvements of object detection results with Convolutional Neural Networks (CNNs). In this …
improvements of object detection results with Convolutional Neural Networks (CNNs). In this …
A systematic evaluation and benchmark for person re-identification: Features, metrics, and datasets
Person re-identification (re-id) is a critical problem in video analytics applications such as
security and surveillance. The public release of several datasets and code for vision …
security and surveillance. The public release of several datasets and code for vision …
Person re-identification by discriminative selection in video ranking
Current person re-identification (ReID) methods typically rely on single-frame imagery
features, whilst ignoring space-time information from image sequences often available in the …
features, whilst ignoring space-time information from image sequences often available in the …
Video-based person re-identification by simultaneously learning intra-video and inter-video distance metrics
Video-based person re-identification (re-id) is an important application in practice. Since
large variations exist between different pedestrian videos, as well as within each video, it is …
large variations exist between different pedestrian videos, as well as within each video, it is …
Dukemtmc4reid: A large-scale multi-camera person re-identification dataset
In the past decade, research in person re-identification (re-id) has exploded due to its broad
use in security and surveillance applications. Issues such as inter-camera viewpoint …
use in security and surveillance applications. Issues such as inter-camera viewpoint …
A data set for airborne maritime surveillance environments
This paper presents a data set with surveillance imagery over the sea captured by a small
size UAV. This data set presents the object examples ranging from cargo ships, small boats …
size UAV. This data set presents the object examples ranging from cargo ships, small boats …
A high-fidelity residential building occupancy detection dataset
This paper describes development of a data acquisition system used to capture a range of
occupancy related modalities from single-family residences, along with the dataset that was …
occupancy related modalities from single-family residences, along with the dataset that was …
Image to video person re-identification by learning heterogeneous dictionary pair with feature projection matrix
Person re-identification plays an important role in video surveillance and forensics
applications. In many cases, person re-identification needs to be conducted between image …
applications. In many cases, person re-identification needs to be conducted between image …
Applications of deep learning for top-view omnidirectional imaging: A survey
J Yu, ACP Grassi, G Hirtz - … of the IEEE/CVF Conference on …, 2023 - openaccess.thecvf.com
A large field-of-view fisheye camera allows for capturing a large area with minimal numbers
of cameras when they are mounted on a high position facing downwards. This topview …
of cameras when they are mounted on a high position facing downwards. This topview …