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Published in 2020 at "Experimental Psychology"
DOI: 10.1027/1618-3169/a000488
Abstract: Abstract. Complex scenes from standardized stimuli databases such as the International Affective Picture System (IAPS) are organized dimensionally rather than discretely. Further, the potentially unique function of socially relevant scenes is often overlooked. This study…
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Keywords:
international affective;
complex scenes;
affective picture;
picture system ... See more keywords
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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2959406
Abstract: The model drift problem is an inevitable problem for online visual tracking. Model drift can amplify the false tracking result over time and lead to failed tracking finally. Background-aware correlation filter (BACF) tracker obtains the…
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Keywords:
correlation filter;
background aware;
tracker;
drift ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3038792
Abstract: The traditional kernel correlation filter (KCF) algorithm has poor tracking results in complex scenes with severe occlusion, deformation, and low resolution and cannot achieve long-term tracking. To improve the accuracy of the tracking algorithm in…
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Keywords:
complex scenes;
kernel correlation;
algorithm;
correlation filter ... See more keywords
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3
Published in 2023 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2023.3267365
Abstract: The pantograph–catenary system is crucial for transferring electrical power from catenary lines to electrified train and the occurrence of arcing could damage railway operations; thus, it is important to detect arcing. Detecting arcing in complex…
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Keywords:
pantograph catenary;
complex scenes;
detection;
arcing detection ... See more keywords