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- W13991071 startingPage "113" @default.
- W13991071 abstract "Tracking multiple targets using fixed cameras with non-overlapping views is a challenging problem. One of the challenges is predicting and tracking through occlusions caused by other targets or by fixed in the scene. Considerable effort has been devoted toward developing appearance models that are robust to partial occlusions, tracking algorithms that cope with short-term loss of observations, and algorithms that learn static occlusion maps. In this thesis we consider scenarios where it is impossible to learn a static occlusion map. This is often the case when the scene consists of both people and large whose position is not permanently fixed. These may enter, leave or relocate within the scene during a short time span. We call such objects or occluders. We develop a representation for scenes containing relocatable that can cause partial occlusions of people in a camera's field of view. In many practical applications, relocatable tend to appear often; therefore, models for them can be learned off-line and stored in a database. We formulate an occluder-centric representation, called a graphical model layer, where a person's motion in the ground plane is defined as a first-order Markov process on activity zones, while image evidence is aggregated in 2D observation regions that are depth-ordered with respect to the occlusion mask of the relocatable object. We represent real-world scenes as a composition of depth-ordered, interacting graphical model layers, and account for image evidence in a way that handles mutual overlap of the observation regions and their occlusions by the relocatable objects. These layers interact: proximate ground plane zones of different model instances are linked to allow a person to move between the layers, and image evidence is shared between the observation regions of these models. We demonstrate our formulation in tracking low-resolution, partially-occluded pedestrians in the vicinity of parked vehicles. In these scenarios some tracking formulations that rely on part-based person detectors may fail completely. Our pedestrian tracker fares well and compares favorably with the state-of-the-art pedestrian detectors—lowering false positives by twenty-nine percent and false negatives by forty-two percent—and a deformable-contour-based tracker." @default.
- W13991071 created "2016-06-24" @default.
- W13991071 creator A5042663603 @default.
- W13991071 creator A5067669313 @default.
- W13991071 date "2011-01-01" @default.
- W13991071 modified "2023-09-27" @default.
- W13991071 title "Layered graphical models for tracking partially-occluded moving objects in video" @default.
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