Paste-and-Cut : Collective Image Localization and Classification for Real-Time Multi-Camera Object Detection
- Title
- Paste-and-Cut : Collective Image Localization and Classification for Real-Time Multi-Camera Object Detection
- Author(s)
- Young Eun Kang
- DGIST Authors
- Young Eun Kang ; Hoon Sung Chwa ; Yeseong Kim
- Advisor
- 좌훈승
- Co-Advisor(s)
- Yeseong Kim
- Issued Date
- 2023
- Awarded Date
- 2023-08-01
- Type
- Thesis
- Description
- "Real-time systems"; "Object Detection"; "Neural Network"
- Table Of Contents
-
Ⅰ.Introduction 1
Ⅱ.Related Work 5
Ⅲ.Target System and Motivation 7
3.1 Target System: DNN-based Object Detection 7
3.2 Feasibility of System Model 8
Ⅳ.System Design 12
4.1 System Goal and Overview 12
4.2 Merge-Canvas Size Decision Module 13
4.3 Localization Module: Paste 16
4.4 Classification Module: Cut 16
4.4.1 RoI Size Decision 17
4.4.2 Recursive Packing 18
Ⅴ. Evaluation 20
5.1 Experiment Setup 20
5.2 Experimental Results 21
5.2.1 Deadline Miss Ratio 21
5.2.2 Detection Accuracy 24
5.2.3 Execution time breakdown 27
Ⅵ. Conclusion 29
References 30
- URI
-
http://hdl.handle.net/20.500.11750/46449
http://dgist.dcollection.net/common/orgView/200000684351
- Degree
- Master
- Publisher
- DGIST
- Related Researcher
-
-
Chwa, Hoon Sung
- Research Interests Real-Time Systems; Real-Time AI Services; Cyber-Physical Systems; Mobile Systems
-
- Files in This Item:
-
There are no files associated with this item.
- Appears in Collections:
- Department of Electrical Engineering and Computer Science Theses Master
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