In this paper, we propose a method to extract lower level motion patterns and associate them with visual concepts respectively in a well-defined structure.

From this viewpoint, the fundamental task of events analysis is to extract semantically meaningful changes and associate all of these basic motion patterns and ...

From this viewpoint, the fundamental task of events analysis is to extract semantically meaningful changes and associate all of these basic motion patterns and ...

The subconceptual area processes the visual data coming out from the video camera. It provides the 3D geometric parameters describing the observed dynamic scene ...

Jul 3, 2020 · Motion patterns can be an effective means to identify different activities. Global and local motions have their respective emphasis on different ...

From Motion Patterns to Visual Concepts for Event Analysis in Dynamic Scenes · Lun XinT. Tan. Computer Science. ACCV. 2006. TLDR. This paper proposes a method ...

In this work we present a Graph Convolutional neural network for the task of scene motion segmentation by a mov- ing camera. We convert the event stream into a ...

In this work, we show that it is possible to compute per-pixel, continuous-time optical flow by additionally using events from an event camera. Events provide ...

Motion Understanding in Videos. Motion understanding is pivotal in video analysis, serving as the basis for interpreting dynamic scenes and activities.

The aim of this paper is to design the theoretical models required for the extension of Formal Concept Analysis to any kind of lattice-structured set of ...