Efficient Parallel TLD on CPU-GPU Platform for Real-Time Tracking Article Swipe
Zhaoyun Chen
,
Dafei Huang
,
Lei Luo
,
Mei Wen
,
Chunyuan Zhang
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.3837/tiis.2020.01.012
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.3837/tiis.2020.01.012
Trackers, especially long-term (LT) trackers, now have a more complex structure and more intensive computation for nowadays' endless pursuit of high accuracy and robustness.However, computing efficiency of LT trackers cannot meet the real-time requirement in various real application scenarios.Considering heterogeneous CPU-GPU platforms have been more popular than ever, it is a challenge to exploit the computing capacity of heterogeneous platform to improve the efficiency of LT trackers for real-time requirement.This paper focuses on TLD, which is the first LT tracking framework, and proposes an efficient parallel implementation based on OpenCL.In this paper, we firstly make an analysis of the TLD tracker and then optimize the computing intensive kernels, including Fern Feature Extraction, Fern Classification, NCC Calculation, Overlaps Calculation, Positive and Negative Samples Extraction.Experimental results demonstrate that our efficient parallel TLD tracker outperforms the original TLD, achieving the 3.92 speedup on CPU and GPU.Moreover, the parallel TLD tracker can run 52.9 frames per second and meet the real-time requirement.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3837/tiis.2020.01.012
- http://itiis.org/digital-library/manuscript/file/23229/TIIS Vol 14, No 1-12.pdf
- OA Status
- diamond
- Cited By
- 1
- References
- 29
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3003513772
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3003513772Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3837/tiis.2020.01.012Digital Object Identifier
- Title
-
Efficient Parallel TLD on CPU-GPU Platform for Real-Time TrackingWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-01-31Full publication date if available
- Authors
-
Zhaoyun Chen, Dafei Huang, Lei Luo, Mei Wen, Chunyuan ZhangList of authors in order
- Landing page
-
https://doi.org/10.3837/tiis.2020.01.012Publisher landing page
- PDF URL
-
https://itiis.org/digital-library/manuscript/file/23229/TIIS Vol 14, No 1-12.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
-
https://itiis.org/digital-library/manuscript/file/23229/TIIS Vol 14, No 1-12.pdfDirect OA link when available
- Concepts
-
Computer science, Tracking (education), Parallel computing, Computational science, General-purpose computing on graphics processing units, Computer graphics (images), Graphics, Psychology, PedagogyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
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2021: 1Per-year citation counts (last 5 years)
- References (count)
-
29Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.ever, | 47 |
| abstract_inverted_index.first | 77 |
| abstract_inverted_index.paper | 70 |
| abstract_inverted_index.which | 74 |
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| abstract_inverted_index.frames | 150 |
| abstract_inverted_index.paper, | 91 |
| abstract_inverted_index.second | 152 |
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| abstract_inverted_index.Feature | 110 |
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| abstract_inverted_index.endless | 17 |
| abstract_inverted_index.exploit | 53 |
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| abstract_inverted_index.focuses | 71 |
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| abstract_inverted_index.popular | 45 |
| abstract_inverted_index.pursuit | 18 |
| abstract_inverted_index.results | 123 |
| abstract_inverted_index.speedup | 138 |
| abstract_inverted_index.tracker | 100, 130, 146 |
| abstract_inverted_index.various | 35 |
| abstract_inverted_index.Negative | 120 |
| abstract_inverted_index.Overlaps | 116 |
| abstract_inverted_index.Positive | 118 |
| abstract_inverted_index.accuracy | 21 |
| abstract_inverted_index.analysis | 96 |
| abstract_inverted_index.capacity | 56 |
| abstract_inverted_index.kernels, | 107 |
| abstract_inverted_index.optimize | 103 |
| abstract_inverted_index.original | 133 |
| abstract_inverted_index.parallel | 85, 128, 144 |
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| abstract_inverted_index.proposes | 82 |
| abstract_inverted_index.trackers | 28, 66 |
| abstract_inverted_index.tracking | 79 |
| abstract_inverted_index.OpenCL.In | 89 |
| abstract_inverted_index.Trackers, | 0 |
| abstract_inverted_index.achieving | 135 |
| abstract_inverted_index.challenge | 51 |
| abstract_inverted_index.computing | 24, 55, 105 |
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| abstract_inverted_index.intensive | 13, 106 |
| abstract_inverted_index.long-term | 2 |
| abstract_inverted_index.nowadays' | 16 |
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| abstract_inverted_index.real-time | 32, 68, 156 |
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| abstract_inverted_index.trackers, | 4 |
| abstract_inverted_index.efficiency | 25, 63 |
| abstract_inverted_index.especially | 1 |
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| abstract_inverted_index.scenarios.Considering | 38 |
| abstract_inverted_index.Extraction.Experimental | 122 |
| cited_by_percentile_year.max | 93 |
| cited_by_percentile_year.min | 89 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 5 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/7 |
| sustainable_development_goals[0].score | 0.6899999976158142 |
| sustainable_development_goals[0].display_name | Affordable and clean energy |
| citation_normalized_percentile.value | 0.37409209 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |