Improved image processing-based crop detection using Kalman filtering and the Hungarian algorithm

E Hamuda, B Mc Ginley, M Glavin, E Jones - Computers and electronics in …, 2018 - Elsevier
There is increasing interest in the use of image processing techniques for crop detection in
intelligent weeding applications. An effective system for crop detection requires a high …

Signal detection and enhancement for seismic crosscorrelation using the wavelet-domain Kalman filter

Y Zhao, F Niu, Z Zhang, X Li, J Chen, J Yang - Surveys in Geophysics, 2021 - Springer
Crosscorrelation is a classical signal-processing technique that plays an important role in
exploration and earthquake geophysics. Seismic velocity estimation utilizes the …

Passive acoustic methods for fine-scale tracking of harbour porpoises in tidal rapids

J Macaulay, J Gordon, D Gillespie, C Malinka… - The Journal of the …, 2017 - pubs.aip.org
The growing interest in generating electrical power from tidal currents using tidal turbine
generators raises a number of environmental concerns, including the risk that marine …

Real-time automated deep learning based railroad trespassing violation detection and tracking at highway-rail grade crossing

X Yang, JQ Li, Y Zhan, W Yu - Intelligent Transportation …, 2024 - academic.oup.com
Trespassing is one of the utmost safety concerns at highway-rail grade crossings (HRGCs)
but many trespassing incidents have not been recorded and deeply studied since no …

Optimizing a Bank of Kalman Filters for Navigation Integrity

LE Sepulveda - 2021 - scholar.afit.edu
Alternative navigation is an area of research which employs a variety of sensor technologies
to provide a navigation solution in Global Navigation Satellite System degraded or denied …

Customer detection and tracking by deep learning and kalman filter algorithms

EN Kajabad, SV Ivanov… - … Conference on Electrical …, 2020 - ieeexplore.ieee.org
Multiple people's tracking and detecting are essential and challenging tasks for monitoring
vision, particularly in public places like shopping centers. We introduced a technical …

Top view person detection and counting for low compute embedded platforms

P Maheshwari, D Alex, S Banerjee, S Behera… - Proceedings of the …, 2018 - dl.acm.org
In this paper, we present an optimised approach for the top-view person detection and
counting for low compute embedded platform. Earlier methods have used background …

Advanced tracking system of multiple Artemia and various behavioral endpoints for ecotoxicological analysis

M Kim, W Lee, J Park, W Kim, S Jo, W Kim, C Kim… - Ecological …, 2020 - Elsevier
The movement of brine shrimp (Artemia spp.) was tracked to evaluate the complex
interactions upon toxicant intake using a toxicological bioassay. In this study, we present a …

Dynamic arbitrary shape boundary detection anc tracking using Hungarian Kalman filter

S Arosh, S Prakash, SK Nayak… - 2016 IEEE Industrial …, 2016 - ieeexplore.ieee.org
The paper explains about tracking a dynamically changing arbitrary shaped structure,
important for determining their boundary and position estimation for advanced warning. The …

[PDF][PDF] Tracking of Video Objects Based on Kalman Filter

AH Kaittan, TR Saeed - Journal of Babylon Univ ersity/Engineering Sciences, 2017 - iasj.net
Object tracking is an important task within the field of computer vision. Where, it is the
process of segmenting an object of interest from a video scene and keeping track of its …