Results 101 to 110 of about 103,598 (304)

A Data Association Algorithm for Multiple Object Tracking in Video Sequences [PDF]

, 2006
This paper presents a particle filtering algorithm for multiple object tracking. The proposed particle filter (PF) embeds a data association technique based on the joint probabilistic data association (JPDA) which handles the uncertainty of the ...
N. Canagarajah, D. Bull, M.H. Jaward, Canagarajah, N., Jaward, M., Bull, D., L. Mihaylova, Mihaylova, L.   +7 more
core   +1 more source

Planar Solid‐State Nanopores Toward Scalable Nanofluidic Integration Based on CMOS Technology

Advanced Engineering Materials, EarlyView.
We present a scalable silicon‐based fabrication strategy for planar solid‐state nanopores to enable their integration with complex nanofluidic systems. Prototype devices demonstrate normal voltage‐current characteristics, good noise performance, and appreciable streaming currents. Our CMOS‐compatible fabrication process offers precise geometric control
Ngan Hoang Pham, Chenyu Wen, Mohammad Hadi Khaksaran, Won‐Yong Lee, Javier Cruz, Klas Hjort, Dongping Wu, Shi‐Li Zhang   +7 more
wiley   +1 more source

3D Tracking Using Multi-view Based Particle Filters

, 2009
Visual surveillance and monitoring of indoor environments using multiple cameras has become a field of great activity in computer vision. Usual 3D tracking and positioning systems rely on several independent 2D tracking modules applied over individual ...
Mohedano del Pozo, Raúl, Salgado Álvarez de Sotomayor, Luis, García Santos, Narciso, Jaureguizar Núñez, Fernando   +3 more
core  

Multispectral object segmentation and retrieval in surveillance video [PDF]

, 2006
This paper describes a system for object segmentation and feature extraction for surveillance video. Segmentation is performed by a dynamic vision system that fuses information from thermal infrared video with standard CCTV video in order to detect and ...
Ó Conaire, Ciarán, O'Connor, Noel E., N. E. O'Connor, A. F. Smeaton, C. O Conaire, Cooke, Eddie, Smeaton, Alan F., E. Cooke, O\u27Connor, Noel E.   +8 more
core   +1 more source

Joint Object Detection and Multi-Object Tracking Based on Hypergraph Matching

Applied Sciences
Addressing the challenges in online multi-object tracking algorithms under complex scenarios, where the independence among feature extraction, object detection, and data association modules leads to both error accumulation and the difficulty of ...
Zhoujuan Cui, Yuqi Dai, Yiping Duan, Xiaoming Tao   +3 more
doaj   +1 more source

Towards Generalizable Multi-Object Tracking

2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Multi-Object Tracking MOT encompasses various tracking scenarios, each characterized by unique traits. Effective trackers should demonstrate a high degree of generalizability across diverse scenarios. However, existing trackers struggle to accommodate all aspects or necessitate hypothesis and experimentation to customize the association information ...
Zheng Qin, Le Wang 0003, Sanping Zhou, Panpan Fu, Gang Hua 0001, Wei Tang 0016   +5 more
openaire   +2 more sources

Productivity‐Driven Optimization of Laser Powder Bed Fusion Parameters for IN718 Superalloy: Process Control, Microstructure, and Mechanical Properties

Advanced Engineering Materials, EarlyView.
This study demonstrates how optimizing laser power, scanning speed, and hatching distance in laser powder bed fusion can boost the productivity of Inconel 718 manufacturing by up to 29% while maintaining mechanical integrity. The work delivers a validated process window and cost–time analysis, offering industry‐ready guidelines for efficient additive ...
Amir Behjat, Guido Barale, John Stavridis, Ehsan Norouzi, Jin‐Yoo Suh, Dong‐Ik Kim, Luca Iuliano, Abdollah Saboori   +7 more
wiley   +1 more source

Field Report from Collaborative Research Center 1625: Heterogeneous Research Data Management Using Ontology Representations

Advanced Engineering Materials, EarlyView.
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed, Samuel García Vázquez, Behnam Mardani, Victor Dudarev, Alfred Ludwig, Maribel Acosta, Markus Stricker   +6 more
wiley   +1 more source

Extended Object Tracking Using Monte Carlo Methods. [PDF]

, 2008
—This paper addresses the problem of tracking extended objects, such as ships or a convoy of vehicles moving in urban environment. Two Monte Carlo techniques for extended object tracking are proposed: an Interacting Multiple Model Data Augmentation (IMM ...
Angelova, D, Mihaylova, L
core  

Improved DeepSORT-Based Object Tracking in Foggy Weather for AVs Using Sematic Labels and Fused Appearance Feature Network

Sensors
The presence of fog in the background can prevent small and distant objects from being detected, let alone tracked. Under safety-critical conditions, multi-object tracking models require faster tracking speed while maintaining high object-tracking ...
Isaac Ogunrinde, Shonda Bernadin
doaj   +1 more source