1. Trang chủ
  2. » Luận Văn - Báo Cáo

Design of cross camera tracking system based on deep learning

100 11 0

Đang tải... (xem toàn văn)

Tài liệu hạn chế xem trước, để xem đầy đủ mời bạn chọn Tải xuống

THÔNG TIN TÀI LIỆU

Nội dung

MINISTRY OF EDUCATION AND TRAINING HO CHI MINH CITY UNIVERSITY OF TECHNOLOGY AND EDUCATION FACULTY FOR HIGH QUALITY TRAINING GRADUATION PROJECT COMPUTER ENGINEERING TECHNOLOGY DESIGN OF CROSS-CAMERA TRACKING SYSTEM BASED ON DEEP LEARNING ADVISOR: PHD TRAN VU HOANG STUDENT: CHUNG TIEN DAT SKL 1 Ho Chi Minh City, February 2023 HO CHI MINH CITY UNIVERSITY OF TECHNOLOGY AND EDUCATION FACULTY FOR HIGH QUALITY TRAINING GRADUATION PROJECT DESIGN OF CROSS-CAMERA TRACKING SYSTEM BASED ON DEEP LEARNING Student: CHUNG TIEN DAT ID: 18119014 Major: COMPUTER ENGINEERING TECHNOLOGY Advisor: TRAN VU HOANG, PhD Ho Chi Minh City, February 2023 ĐẠI HỌC SƯ PHẠM KỸ THUẬT THÀNH PHỐ HỒ CHÍ MINH CỘNG HỒ XÃ HỘI CHỦ NGHĨA VIỆT NAM Độc lập – Tự Do – Hạnh phúc KHOA ĐÀO TẠO CHẤT LƯỢNG CAO Tp HCM, ngày tháng năm 2023 BẢN GIẢI TRÌNH CHỈNH SỬA ĐỒ ÁN TỐT NGHIỆP NGÀNH: CNKT MÁY TÍNH Tên đề tài: Design of cross-camera tracking system based on deep learning Tên sinh viên: Chung Tiến Đạt MSSV: 18119014 GVHD: Mr Trần Vũ Hoàng, PhD Hội đồng bảo vệ HĐ 1, phòng A4-401, ngày tháng năm 2023 Giải trình chỉnh sửa báo cáo đồ án tốt nghiệp: TT Nội dung góp ý Hội đồng Kết chỉnh sửa, bổ sung Ghi Correct the typos Person detection or Adjusted “person” and “human” word for suitable Human detection is context Done correct? The format of figures and tables should be identical Move table name to underneath of table rather upper of table Done Remove: Some redundant contents should be eliminated • 2.2.2 Segmentation-based • 2.2.3.1 Generative methods Done • 2.2.3.2 Reinforcement learning Avoid numbering below: low-level subsections, as 2.2.4.3.1 Get rid of 5-level section of multilevel list as shown such • 2.1.3.2.1 Backbone now is 2.1.3.3 Backbone • 2.1.3.2.2 Neck now is 2.1.3.4 Neck Done • 2.1.3.2.3 Head now is 2.1.3.5 Head • 2.1.4.2.1 Backbone and neck now is 2.1.4.2 Architecture – Backbone and neck • 2.1.4.2.2 Head and anchor-free now is 2.1.4.3 Architecture – Head – and anchor-free • 2.2.3.3.1 Shallow learning now is 2.2.3.4 Shallow learning • 2.2.3.3.1 Deep learning now is 2.2.3.3.2 Deep learning • 2.3.1.1.1 Overview now is 2.3.1.1 Overview of HRnet • 2.3.1.1.2 Architecture now is 2.3.1.2 Architecture of HRnet • 2.3.1.1.3 Challenges now is 2.3.1.3 Challenges of CNN-based appoarch • 2.3.2.1.1 Overview now is 2.3.2.1 Overview of TransReID • 2.3.2.1.2 Jigsaw Patch Module now is 2.3.2.2 Jigsaw Patch Module • 2.3.2.1.3 Side Information Embedding now is 2.3.2.3 Side Information Embedding; • 2.3.2.1.4 Challenges now is 2.3.2.4 Challenges of Transformer-based approach Xác nhận trưởng ngành (Ký họ tên) Xác nhận GVHD (Ký họ tên) Nhóm thực báo cáo (Ký họ tên) THE SOCIALIST REPUBLIC OF VIETNAM Independence – Freedom– Happiness Ho Chi Minh City, June 26, 2023 EVALUATION SHEET OF DEFENSE COMMITTEE MEMBER Student name: Chung Tiến Đạt Student ID: 18119014 Major: Computer Engineering Technology Class: 18119CLA2 Project title: Design of Cross-Camera Tracking System based on Deep Learning Name of Defense Committee Member: EVALUATION Content and workload of the project Strengths: Weaknesses: Overall evaluation: (Excellent, Good, Fair, Poor) Mark: ……………… (In words ) Ho Chi Minh City, June 26, 2023 COMMITTEE MEMBER (Sign with full name) ACKNOWLEDGEMENT I would like to express my deepest gratitude to my advisor, Mr Tran Vu Hoang, PhD, for many interesting weekly technical discussions that helped me find research directions and advice on technical issues His patience and devotion to teaching have helped me become a better student in terms of both knowledge and personality, not only during the development of the graduation project but throughout the academic years I would like to extend my sincere thanks to the teachers of the Faculty of High Quality Training and the Faculty of Electrical and Electronics Engineering for their advanced knowledge and experience through every course I am also grateful that my colleagues created the best conditions for me to complete the graduation project Lastly, I would be remiss in not mentioning my family and friends Their belief and support in me have kept my spirits and motivation high during this process DISCLAIMER This thesis is the result of my study, evaluation, and implementation All texts, quoted directly or paraphrased, have been indicated by in-text citations Full bibliographic details are given in the reference list containing internet sources containing URLs Chung Tiến Đạt

Ngày đăng: 07/12/2023, 21:38

TÀI LIỆU CÙNG NGƯỜI DÙNG

TÀI LIỆU LIÊN QUAN

w