運用顏色與SURF關鍵點特徵分類之快速多廣告看板計次系統

A Fast Multi-Banner Counting System using Color and SURF Key-Point Features Classification

林家儒(Chia-Ju Lin)

指導教授 ： 張厥煒

國立臺北科技大學/電資學院/資訊工程系研究所/碩士(2012年)

https://doi.org/10.6841/NTUT.2012.00656

摘要

西元2012年在洛杉磯道奇隊主場（Dodger Stadium）的本壘板後方，再次出現台灣觀光局的廣告看板。觀光局表示，今年觀光局以新台幣一千多萬元經費，與道奇球團簽約一年，以看板展示的方式在道奇主場宣傳台灣觀光。由於眾多廣告看板都經電視轉播給全世界觀眾觀看，故不管是公司產品經營或是觀光政策，都常藉由高收視率的轉播來吸引更多人的注目，打響知名度。
本論文以顏色與SURF為主要特徵，透過顏色的濾除再以SURF特徵做辨識，搭配特徵在空間上的資訊及分布，篩選出適當且具代表性的關鍵點。並對於篩選後的關鍵點建立新的索引結構，能有效率的支援多重高維度特徵之搜尋。針對視覺影像為基礎的競賽轉播之廣告看板辨識系統。處理後的特徵可以讓每張廣告圖片保有獨特性、互斥性及唯一性的關鍵點。搭配畫面差異的偵測，可以大幅降低運算時間，而辨識部分利用特徵描述子的拉氏信號、特徵向量的距離以及合成向量的主要方向比對關鍵點的相似度。根據實驗的結果，利用篩選後的特徵排序加以比對能有效加速搜尋亦可以大幅度的減少比對次數。也能達到高準確率的比對結果。

關鍵字

廣告看板 ； SURF ； 特徵描述 ； 物件識別 ； 特徵篩選

並列摘要

In 2012, behind the home base in Los Angeles’ Dodger Stadium, once again there will be the billboard of Taiwan’s Tourism Bureau.
The Tourism Bureau has indicated that this year they have prepared a budget of 10 million NT dollar and signed a one year contract with the Dodger Stadium to utilize their billboards to promote Taiwan Tourism.
As these advertising billboards are visible to a worldwide audience via television broadcast, regardless of the item being promoted, increased awareness will be achieved by taking advantage of high rating broadcasted locations.
The main focus of this paper is of color and SURF. The representative features are identified through filtering by color and recognition of SURF characteristics as well as the distribution of space and information. This helps creating a new index structure with the main features specified, and allowing efficient multiple high-dimensional feature search whilst targeting the basis of visual imagery advertising through sports game broadcasting’s billboard recognition system.
The processed features allow each advertising image to maintain its uniqueness and mutually exclusive characteristics. In collaboration of detecting the frame differences, calculating frequency can be markedly decreased. Identification is made by comparison of the similarity of the feature points using sign of the laplacian, distance of the characteristic vectors and the main direction of the synthetic vector.
According to the test results, search is accelerated by using the identified main features as it also decreased the number of comparisons required, which in effect achieves more accurate results.

並列關鍵字

Banner ； SURF ； Feature Description ； Object Recognition ； Feature Extraction

參考文獻

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