NGUYEN , Thi Lan Anh

Multiple Object Tracking (MOT) is an important computer vision task and many MOT issues are still unsolved. Factors such as occlusions, illumination, object densities are big challenges for MOT. Therefore, this thesis proposes three MOT approaches to handle these challenges. The proposed approaches can be distinguished through two properties:...

The characteristics like density of objects, their contrast with respect to surrounding background, their occlu-sion level and many more describe the context of the scene. The variation of the context represents ambiguous task to be solved by tracker. In this paper we present a new long term tracking framework boosted by context around each...

The complex scene conditions such as light change, high density of mobile objects or object occlusion can cause object mis-detections. When a tracker can not recover these mis-detections, the trajectory of an object is fragmented into some short trajectories called tracklets. As a result, tracking quality is reduced remarkably. In this paper,...

Appearance based multi-object tracking (MOT) is a challenging task, specially in complex scenes where objects have similar appearance or are occluded by background or other objects. Such factors motivate researchers to propose effective trackers which should satisfy real-time processing and object trajectory recovery criteria. In order to...