Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Xin-xi Feng"'
Publikováno v:
2021 International Symposium on Computer Technology and Information Science (ISCTIS).
This paper proposes a shadow detection algorithm based on SLICO superpixel segmentation to address the issues of single-image shadow detection. Firstly, SLICO superpixels is used to segment the shadow image to generate superpixel blocks to detect the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::06f117a0f1add537b3781963ae4a0ad2
https://doi.org/10.1109/isctis51085.2021.00067
https://doi.org/10.1109/isctis51085.2021.00067
Autor:
Luo-jia Chi, Xin-xi Feng
Publikováno v:
2018 IEEE 2nd International Conference on Circuits, System and Simulation (ICCSS).
For the case that the prediction and update steps of sequence Monte Carlo Generalized Labeled Multi-Bernoulli filter (SMC-GLMB) require pruning respectively which causes large amount of calculation and low operation efficiency, a fast GLMB algorithm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ab2cad8dbfd562846c2a7b48ab6c5e37
https://doi.org/10.1109/cirsyssim.2018.8525994
https://doi.org/10.1109/cirsyssim.2018.8525994
Publikováno v:
2018 IEEE 2nd International Conference on Circuits, System and Simulation (ICCSS).
In the background of clutter, the probability hypothesis density (PHD) filter is used to carry out the extended target tracking where the measurement set is difficult to partition and the computational efficiency is low. A method is proposed to divid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bb918f80ec72fa30cc90745760560556
https://doi.org/10.1109/cirsyssim.2018.8525934
https://doi.org/10.1109/cirsyssim.2018.8525934
Publikováno v:
DEStech Transactions on Computer Science and Engineering.
In unknown clutter environment, traditional Probability Hypothesis Density (PHD) filter in multi-target tracking cannot guarantee a good performance and multitude number of particles leads to time consuming and low efficiency. Aiming at the problems,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4edae5f10c2ff8e6da3ddf36cb9cb3f5
https://doi.org/10.12783/dtcse/smce2017/12466
https://doi.org/10.12783/dtcse/smce2017/12466
Publikováno v:
DEStech Transactions on Engineering and Technology Research.
An extended target filter based on random finite sets (RFS) is proposed with modeling for Star-Convex. The proposed algorithms combine multiple hypotheses tracking (MHT) and labeled RFS to smooth the multiframe measurements. Experimental results show
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9d0dbbbe559fb77b5783ed6db2d365f3
https://doi.org/10.12783/dtetr/icmca2017/12385
https://doi.org/10.12783/dtetr/icmca2017/12385
Track-before-Detect Algorithm Based on Gaussian Particle Cardinalized Probability Hypothesis Density
Publikováno v:
DEStech Transactions on Computer Science and Engineering.
In unknown dim target number environment, a new track-before-detect (TBD) algorithm based on cardinalized probability hypothesis density (CPHD) filter is proposed. It can avoid the low tracking robustness and high computational amount. The Gaussian p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7244738b8b33017e2f39e9b6ad1687fd
https://doi.org/10.12783/dtcse/itme2017/7965
https://doi.org/10.12783/dtcse/itme2017/7965
Publikováno v:
Applied Mechanics and Materials. 722:334-337
A decorrelation-based data association algorithm for heterogeneous sensors system is proposed, which first fusions multiple measurements to estimate a target position using the pseudo linear estimation method, then a decorrelation-based data associat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e4785771447c12a4bd1285a8be104fec
https://doi.org/10.4028/www.scientific.net/amm.722.334
https://doi.org/10.4028/www.scientific.net/amm.722.334
Publikováno v:
JOURNAL OF RADARS. 2:292-299
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d4f9d885a4db8bf2aeb7c44dab2f314
https://doi.org/10.3724/sp.j.1300.2013.13036
https://doi.org/10.3724/sp.j.1300.2013.13036
Publikováno v:
2016 First IEEE International Conference on Computer Communication and the Internet (ICCCI).
A CBMeMBer filter for extended object detection and tracking using box particle is proposed for the problem that measurement affects by inaccuracy and vague in extended target tracking. Firstly, states and observations of extended target are modeled
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cecd305221c555c166ec0430943532bf
https://doi.org/10.1109/cci.2016.7778963
https://doi.org/10.1109/cci.2016.7778963
Publikováno v:
Wireless Communication and Sensor Network.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::783268e21bdabbc73ae23b0c3ccffb64
https://doi.org/10.1142/9789813140011_0095
https://doi.org/10.1142/9789813140011_0095