We propose a content-based 3D mosaic (CB3M) representation for long video sequences of 3D and dynamic urban scenes captured by a camera on a mobile platform. In the first phase, a set of parallel-perspective (pushbroom) mosaics with varying viewing directions is generated to capture both the 3D and dynamic aspects of the scene under the camera coverage. In the second phase, a segmentation-based...

We propose a content-based 3D mosaic (CB3M) representation for long video sequences of 3D and dynamic urban scenes captured by a camera on a mobile platform. In the first phase, a set of parallel-perspective (pushbroom) mosaics with varying viewing directions is generated to capture both the 3D and dynamic aspects of the scene under the camera coverage. In the second phase, a segmentation-based...

This paper describes a framework for learning probabilistic models of objects and scenes and for exploiting these models for tracking complex, deformable, or articulated objects in image sequences. We focus on the probabilistic tracking of people and learn models of how they appear and move in images. In particular, we learn the likelihood of observing various spatial and temporal filter respon...

in this paper, we introduce and study the concepts of $mathcal{i}_2$-convergence, $mathcal{i}_2^{*}$-convergence for double sequences of fuzzy real numbers, where $mathcal{i}_2$ denotes the ideal of subsets of $mathbb n times mathbb n$. also, we study some properties and relations of them.

This paper explores an interesting image projection produced by scanning dynamic scenes with a slit camera. Based on the concept of Anorthoscopic Perception, we investigate how a two-dimensional Dynamic Projection Image of three-dimensional scenes is generated from consecutive 1-D snapshots taken through a slit, when the relative motion is homogeneous between the viewer and scenes. By moving th...

This article aims to analyze two biographical films of Stephen Hawking in order identify the representations scientist present cinematographic works. For this, investigation was based on film analysis and categorization following main identified literature. The most common scenes sequences which protagonist acted, taking into account context for certain actions scientist. results indicated that...

Traditional visual place recognition (VPR) methods generally use frame-based cameras, which will easily fail due to rapid illumination changes or fast motion. To overcome this, we propose an end-to-end VPR network using event can achieve good performance in challenging environments (e.g., large-scale driving scenes). The key idea of the proposed algorithm is first characterize streams with EST ...

In this paper we present a new robust approach to extract moving objects in traffic scenes. It allows moving obstacles (cars, motorcycles, ...) to be detected from a moving car without any a priori information about the shape or location of these moving objects. This technique is based on the concept of tracking color blobs in image sequences.

near-fault ground motions with long-period pulses can place severe demands on structures near an active fault. these pulse-type ground motions can be represented by pulse sequences with simple shapes. half-sinusoidal pulse sequences are used to approximate recorded ground motions and dynamic responses of sdof system under the excitation of these pulse sequences are studied. four cases are consi...