Dissertation/ Thesis
植基於未同步雙攝影機之即時棒球偵測與三維軌跡重建系統 ; Real-time Baseball Detection and Three-Dimension Trajectory Reconstruction System With Unsynchronized Cameras
| العنوان: | 植基於未同步雙攝影機之即時棒球偵測與三維軌跡重建系統 ; Real-time Baseball Detection and Three-Dimension Trajectory Reconstruction System With Unsynchronized Cameras |
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| المؤلفون: | 林尚志 |
| سنة النشر: | 2009 |
| المجموعة: | National Taiwan University of Science and Technology Repository (NTUSTR) / 台灣科技大學 |
| مصطلحات موضوعية: | 棒球偵測, 三維軌跡重建, 攝影機校正, 未同步多攝影機, 即時, 卡爾曼濾波器, baseball detection, three-dimension trajectory reconstruction, camera calibration, unsynchronized cameras, real-time, Kalman filter |
| الوصف: | 國立臺灣科技大學電子工程系 ; 學位：碩士 ; 指導教授：許孟超 ; 投手是擔任球賽勝敗的關鍵角色，而有能力掌握控球與球在好球帶落點的投手是成為一優秀投手的條件之一。使用視訊影像分析系統在訓練中能協助投手控制好球帶的掌控能力，能減少訓練時間並降低運動傷害；在比賽中則可幫助裁判判定好壞球。所以這類系統越來越受到棒球愛好者的矚目，譬如大聯盟K-Zone或各大比賽皆有類似的系統。本文嘗試實作這樣的系統，但是不使用昂貴的同步攝影器材，用以協助投手訓練，並能夠立即的重建棒球三維軌跡與重播球體經過好球帶的畫面。 為達成這個目的，我們使用便宜的家用手持攝影機配合影像擷取卡，用兩台電腦經網路連結。未同步的攝影機使用自製的同步信號燈來減少誤差，並藉由提高程式優先權的方式，來減少作業系統切換的時間延遲。利用具有棋盤格特徵的校正版來完成攝影機的自我校正。移動物體的偵測在捕手附近區域不容易偵測出來，因此由Kalman Filter來預測球體落點，最後可重建球體三維軌跡並將相關的投球精華片段影像擷取後儲存在Video stream 的 database 內。 實驗結果顯示，本系統成功建立二維與三維軌跡，在小型空間場景測試下，使用虛擬好球帶之實驗中，其理論邊長與實際邊長誤差分別為3.01%、6.95%和1.79%，而整體平均誤差為4.32%；在程式效能方面，當投手將球投出後僅需不到50ms的時間可以將軌跡擷取出來，接近Real-time。 Pitcher plays the major role of baseball games. The skill of strike zone control is important for a good pitcher. Apply analysis system of video to pitcher’s training can reduce training time and lower injuries of sports. Apply this to a real game helps judgment of umpire. That's why this kind of systems is attracting people. In MLB, they use K-Zone to doing these jobs and other games use similar systems. We try to implement such a system for the purposes we mentioned before with inexpensive cameras. In order to implement it, we use inexpensive cameras with image capture cards and two laptops which connected by each other via Ethernet interface. Home-made External signal lighting device is used for synchronization. Here, the priority of the program will be raised to the real-time level to reduce the CPU time of context switch. Calibration is done by using checkerboard pattern in order to get the camera’s parameters. Because the moving objects near catcher are difficult to detect, Kalman filter is applied to estimate moving trajectory of baseball. Finally, ball trajectory of three-dimension is reconstructed and database of video stream is generated automatically. The experiment result shows that the system builds 2D and 3D trajectory successfully. In the scenario of small space the difference between the measured values of strike zone border and actual values of border are 3.01%, 6.95% and 1.79% respectively. ... |
| نوع الوثيقة: | thesis |
| وصف الملف: | 143 bytes; text/html |
| اللغة: | Chinese English |
| Relation: | http://ir.lib.ntust.edu.tw/handle/987654321/16190; http://ir.lib.ntust.edu.tw/bitstream/987654321/16190/1/index.html |
| الاتاحة: | http://ir.lib.ntust.edu.tw/handle/987654321/16190 http://ir.lib.ntust.edu.tw/bitstream/987654321/16190/1/index.html |
| رقم الانضمام: | edsbas.5BAEEA1C |
| قاعدة البيانات: | BASE |
| الوصف غير متاح. |