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 …
Beyond triplet loss: a deep quadruplet network for person re-identification
Person re-identification (ReID) is an important task in wide area video surveillance which
focuses on identifying people across different cameras. Recently, deep learning networks …
focuses on identifying people across different cameras. Recently, deep learning networks …
Part-aligned bilinear representations for person re-identification
Comparing the appearance of corresponding body parts is essential for person re-
identification. As body parts are frequently misaligned between the detected human boxes …
identification. As body parts are frequently misaligned between the detected human boxes …
Deeply-learned part-aligned representations for person re-identification
In this paper, we address the problem of person re-identification, which refers to associating
the persons captured from different cameras. We propose a simple yet effective human part …
the persons captured from different cameras. We propose a simple yet effective human part …
Improving person re-identification by attribute and identity learning
Person re-identification (re-ID) and attribute recognition share a common target at learning
pedestrian descriptions. Their difference consists in the granularity. Most existing re-ID …
pedestrian descriptions. Their difference consists in the granularity. Most existing re-ID …
Generalizable person re-identification by domain-invariant map** network
We aim to learn a domain generalizable person re-identification (ReID) model. When such a
model is trained on a set of source domains (ReID datasets collected from different camera …
model is trained on a set of source domains (ReID datasets collected from different camera …
See the forest for the trees: Joint spatial and temporal recurrent neural networks for video-based person re-identification
Surveillance cameras have been widely used in different scenes. Accordingly, a demanding
need is to recognize a person under different cameras, which is called person re …
need is to recognize a person under different cameras, which is called person re …
Joint learning of single-image and cross-image representations for person re-identification
Person re-identification has been usually solved as either the matching of single-image
representation (SIR) or the classification of cross-image representation (CIR). In this work …
representation (SIR) or the classification of cross-image representation (CIR). In this work …