This thesis addresses the problem of Human Re-Identification, the task of associating pedestrians over multiple camera views. Human re-identification particularly an inter- esting problem due to its applications in visual surveillance. Given a probe image of a subject, the objective is to identify a set of matching images of the same subject from a gallery set which are mostly captured by a different camera. Instead of manually search- ing through images captured by various cameras, it is desirable to automate the human re-identification as it can save enormous amount of manual labor. However, human re-identification is fundamentally a challenging problem due to cluttered backgrounds, ambiguity in visual appearance, variations in il...
Video surveillance systems are of a great value for public safety. As one of the most import surveil...
Visually identifying a target individual reliably in a crowded environment observed by a distributed...
Human re-identification is to match a pair of humans appearing in different cameras with non-overlap...
International audiencePerson re-identification is one of the indispensable elements for visual surve...
International audiencePerson re-identification is one of the indispensable elements for visual surve...
This research involves live human re-identification on multi-camera systems. Each frame of multiple ...
Person re-identification is an important computer vision task. It can be used in the real-world appl...
In a system of cameras, it can be beneficial to track and identify people as they move through the s...
Person re-identification (Re-ID) has attracted attention due to its wide range of applications. Most...
One of the common task in any video surveillance system is re-identifications of humans, which aims ...
Person re-identification is probably the open challenge for low-level video surveillance in the pres...
Person re-identification is probably the open challenge for low-level video surveillance in the pres...
International audienceIn video surveillance, Person Re-Identification(Re-ID) consists in recognizing...
International audienceIn video surveillance, pedestrian attributes are defined as semantic descripto...
Video surveillance systems are of a great value for public safety. As one of the most import surveil...
Video surveillance systems are of a great value for public safety. As one of the most import surveil...
Visually identifying a target individual reliably in a crowded environment observed by a distributed...
Human re-identification is to match a pair of humans appearing in different cameras with non-overlap...
International audiencePerson re-identification is one of the indispensable elements for visual surve...
International audiencePerson re-identification is one of the indispensable elements for visual surve...
This research involves live human re-identification on multi-camera systems. Each frame of multiple ...
Person re-identification is an important computer vision task. It can be used in the real-world appl...
In a system of cameras, it can be beneficial to track and identify people as they move through the s...
Person re-identification (Re-ID) has attracted attention due to its wide range of applications. Most...
One of the common task in any video surveillance system is re-identifications of humans, which aims ...
Person re-identification is probably the open challenge for low-level video surveillance in the pres...
Person re-identification is probably the open challenge for low-level video surveillance in the pres...
International audienceIn video surveillance, Person Re-Identification(Re-ID) consists in recognizing...
International audienceIn video surveillance, pedestrian attributes are defined as semantic descripto...
Video surveillance systems are of a great value for public safety. As one of the most import surveil...
Video surveillance systems are of a great value for public safety. As one of the most import surveil...
Visually identifying a target individual reliably in a crowded environment observed by a distributed...
Human re-identification is to match a pair of humans appearing in different cameras with non-overlap...