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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 …
Towards intelligent building energy management: AI-based framework for power consumption and generation forecasting
Due to global warming and climate changes, buildings including residential and commercial
are significant contributors to energy consumption. To this end, net zero energy building …
are significant contributors to energy consumption. To this end, net zero energy building …
Cross-modality person re-identification with shared-specific feature transfer
Cross-modality person re-identification (cm-ReID) is a challenging but key technology for
intelligent video analysis. Existing works mainly focus on learning modality-shared …
intelligent video analysis. Existing works mainly focus on learning modality-shared …
Visible-infrared person re-identification via homogeneous augmented tri-modal learning
Matching person images between the daytime visible modality and night-time infrared
modality (VI-ReID) is a challenging cross-modality pedestrian retrieval problem. Existing …
modality (VI-ReID) is a challenging cross-modality pedestrian retrieval problem. Existing …
Person re-identification: Past, present and future
L Zheng, Y Yang, AG Hauptmann - ar**
cameras. Most existing methods tackle this problem by encoding each video frame in its …
cameras. Most existing methods tackle this problem by encoding each video frame in its …
A survey of open-world person re-identification
Person re-identification (re-ID) has been a popular topic in computer vision and pattern
recognition communities for a decade. Several important milestones such as metric-based …
recognition communities for a decade. Several important milestones such as metric-based …
Recurrent convolutional network for video-based person re-identification
In this paper we propose a novel recurrent neural network architecture for video-based
person re-identification. Given the video sequence of a person, features are extracted from …
person re-identification. Given the video sequence of a person, features are extracted from …