Autonomous systems that operate in dynamic environments require robust object tracking 3D as one of their key components. Most recent approaches for multi-object (MOT) from LIDAR use dynamics together with a set handcrafted features to match detections objects across multiple frames. However, manually designing such and heuristics is cumbersome often leads suboptimal performance. In this work, ...

Multi-object tracking aims to assign a uniform ID for the same target in continuous frames, which is widely used autonomous driving, security monitoring, etc. In previous work, low-scoring box, inevitably contained occluded target, was filtered by Non-Maximum Suppression (NMS) detection stage with confidence threshold. order track effectively, this paper, we propose method of NMS performing lat...

Object classification is an important issue in multimedia information retrieval. Usually, we can use images from multiple views (or multi-view images) to describe an object for classification. However, two issues remain unsolved. First, exploiting the spatial relations of local features from different view images for object classification. Second, accelerating the multi-view object classificati...

The object of this paper is to establish certain generalized fractional integration and differentiation involving generalized Mittag-Leffler function defined by Salim and Faraj [25]. The considered generalized fractional calculus operators contain the Appell's function $F_3$ [2, p.224] as kernel and are introduced by Saigo and Maeda [23]. The Marichev-Saigo-Maeda fractional calculus operators a...

We present a hierarchical multi-object surface-based deformable atlas for the automatic localization and identification of brain structures in MR images. The atlas is built as a multi-object set of 3D triangulated closed surfaces, each representing a given brain structure, and sharing its faces with neighboring structures. To support such a topology unambiguously, the multi-object mesh is build...