本文選題：罰籃 + 特征提取　； 參考：《浙江理工大學(xué)》2017年碩士論文

【摘要】：罰籃是運(yùn)動(dòng)員重要的訓(xùn)練項(xiàng)目,也是比賽中最為有效的得分方式。由于其技巧性強(qiáng),所以需要從最初的動(dòng)作開(kāi)始訓(xùn)練,然后循序漸進(jìn)的養(yǎng)成一種適合自己的投籃節(jié)奏。目前輔助運(yùn)動(dòng)員罰籃訓(xùn)練的方式還停留在使用攝像機(jī)記錄投籃視頻,然后通過(guò)觀看錄像回放的方式來(lái)指導(dǎo)運(yùn)動(dòng)員,該方式依靠的是教練的經(jīng)驗(yàn)和運(yùn)動(dòng)員的主觀來(lái)判斷每次投籃的得失,缺乏科學(xué)的指導(dǎo),也容易忽視運(yùn)動(dòng)員的個(gè)體特殊性。針對(duì)上述問(wèn)題,論文中應(yīng)用視頻圖像的相關(guān)算法,設(shè)計(jì)了一套輔助運(yùn)動(dòng)員罰籃訓(xùn)練的系統(tǒng)。系統(tǒng)會(huì)自動(dòng)分析運(yùn)動(dòng)員的動(dòng)作、技術(shù)參數(shù)、出手信息,并給出相應(yīng)的輔助意見(jiàn)。下面是論文的主要研究?jī)?nèi)容:(1)在運(yùn)動(dòng)員的罰籃視頻中,存在許多的罰籃無(wú)關(guān)幀,真正的罰籃幀集包含了起始、抬臂、下蹲、伸展的所有過(guò)程。為了獲取罰籃幀集和球的出手信息,論文中通過(guò)分析多個(gè)樣本的多次罰籃視頻提出了出手幀檢測(cè)算法,建立了出手幀數(shù)學(xué)模型,可以快速精準(zhǔn)的定位出手幀,確定罰籃幀集,為進(jìn)一步的獲取籃球的出手狀態(tài)信息做準(zhǔn)備。并通過(guò)多個(gè)樣本的實(shí)驗(yàn),驗(yàn)證了算法的可靠性和魯棒性。(2)在罰籃過(guò)程中對(duì)籃球的分析至關(guān)重要。針對(duì)罰籃視頻中籃球的特征,論文在標(biāo)準(zhǔn)的Hough變化的基礎(chǔ)上,提出了籃球定位檢測(cè)算法。一方面,針對(duì)視頻處理的特性,提取籃球前景和邊緣信息對(duì)干擾像素點(diǎn)進(jìn)行剔除,減少計(jì)算次數(shù)。另一方面,從圓參數(shù)方程入手,將像素點(diǎn)空間映射到圓參數(shù)空間,再降低累加器維度,使用多維數(shù)組代替多重循環(huán)進(jìn)行投票,獲取圓半徑,計(jì)算出圓心坐標(biāo)。通過(guò)實(shí)驗(yàn)對(duì)比驗(yàn)證了算法的有效性和抗干擾性。(3)在出手幀檢測(cè)和籃球定位算法的基礎(chǔ)上,獲取出手速度與角度。為了矯正罰籃時(shí)運(yùn)動(dòng)員的持球手型,提出了手型獲取算法,獲取手型,提供給運(yùn)動(dòng)員參考。通過(guò)對(duì)專(zhuān)業(yè)運(yùn)動(dòng)員的罰籃技術(shù)進(jìn)行分析總結(jié),概括了罰籃動(dòng)作的技術(shù)要領(lǐng),并對(duì)其進(jìn)行參數(shù)量化,最終指導(dǎo)運(yùn)動(dòng)員的動(dòng)作。(4)系統(tǒng)平臺(tái)設(shè)計(jì)。系統(tǒng)的前臺(tái)用戶交互界面使用Qt編寫(xiě),包含系統(tǒng)的初始化和相應(yīng)的功能菜單。后臺(tái)的圖像處理模塊使用c/c++編程,調(diào)用OpenCV2.4.9的視頻圖像庫(kù)來(lái)實(shí)現(xiàn)。數(shù)據(jù)處理模塊主要實(shí)現(xiàn)對(duì)手軌跡信息的篩選、出手信息的計(jì)算、技術(shù)參數(shù)的獲取,并把相應(yīng)的數(shù)據(jù)存放到MySQL數(shù)據(jù)庫(kù)中。
[Abstract]:Free throw is an important training item for athletes, and it is also the most effective way to score in competitions.Because of its skill, it needs to start from the initial action, and then gradually develop a rhythm suitable for their own shooting.At present, the way to assist athletes in free throw training is to use cameras to record shooting videos, and then to guide athletes by watching video playback.This way depends on the experience of coach and the subjective of athletes to judge the gain and loss of each shot, lacks scientific guidance, and easily ignores the individual particularity of athletes.In order to solve the above problems, this paper designs a system to assist athletes' free throw training by using the video image algorithm.The system will automatically analyze the athlete's movement, technical parameters, release information, and give the corresponding auxiliary advice.The following is the main research content of the thesis: (1) in the athletes' free throw video, there are many free basket independent frames. The real set of free throw frames contains all the processes of starting, lifting arms, squat, and stretching.In order to obtain the shot information of the free throw frame set and the ball, the paper puts forward the shot frame detection algorithm by analyzing the multiple samples of the free throw frame video, and establishes the mathematical model of the shot frame, which can locate the shot frame quickly and accurately, and determine the free throw frame set.Prepare for further information on the shooting status of basketball.The reliability and robustness of the algorithm are verified by the experiments of several samples, and it is very important to analyze basketball in the process of free throw.Aiming at the basketball features in the free throw video, this paper puts forward a basketball location detection algorithm based on the standard Hough change.On the one hand, according to the characteristics of video processing, basketball foreground and edge information are extracted to eliminate the interference pixels and reduce the number of calculations.On the other hand, starting with the circular parameter equation, the pixel space is mapped to the circular parameter space, and then the accumulator dimension is reduced, and the multi-dimensional array is used to vote instead of multiple loops to obtain the radius of the circle and calculate the coordinates of the center of the circle.Experimental results show that the algorithm is effective and anti-jamming. (3) on the basis of shot frame detection and basketball positioning algorithm, the speed and angle of shot are obtained.In order to correct the player's hand type in free throw, an algorithm of hand type acquisition is put forward, which can be used as a reference for athletes.By analyzing and summarizing the technique of free throw for professional athletes, this paper summarizes the technical essentials of the action of free throw, quantifies its parameters, and finally guides the design of system platform for athletes' action.The front user interface of the system is written by QT, including the initialization of the system and the corresponding function menu.The background image processing module is programmed by c / c, and the video image library of OpenCV2.4.9 is called.The data processing module mainly realizes the selection of the opponent trajectory information, the calculation of the release information, the acquisition of the technical parameters, and stores the corresponding data in the MySQL database.
【學(xué)位授予單位】：浙江理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類(lèi)號(hào)】：G841;TP391.41

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 張典華;陳一民;;籃球訓(xùn)練仿真系統(tǒng)的實(shí)現(xiàn)[J];圖學(xué)學(xué)報(bào);2015年05期

2 陳國(guó)文;;論籃球投籃技術(shù)動(dòng)作訓(xùn)練中的問(wèn)題與方法[J];當(dāng)代體育科技;2015年07期

3 于海濤;李斌;陳燕梅;;現(xiàn)代籃球運(yùn)動(dòng)的技戰(zhàn)術(shù)特點(diǎn)與趨勢(shì)研究[J];當(dāng)代體育科技;2014年21期

4 任泓宇;聶余滿;王為田;汪步云;李世銀;宋全軍;;基于圖像特征的鉛球投擲數(shù)據(jù)同步方法[J];計(jì)算機(jī)工程與設(shè)計(jì);2014年05期

5 崔云翔;;基于二維人體關(guān)節(jié)點(diǎn)特征的體育視頻標(biāo)注[J];計(jì)算機(jī)工程;2014年04期

6 王一帆;尹傳歷;黃義明;王洪玉;;基于雙邊濾波的圖像去霧[J];中國(guó)圖象圖形學(xué)報(bào);2014年03期

7 朱俊杰;杜小平;范湘濤;郭華東;;三種圖像分割算法的對(duì)比及圖像分割方法的改進(jìn)[J];計(jì)算機(jī)應(yīng)用與軟件;2014年01期

8 徐艷;袁同春;柴業(yè)宏;;基于三維圖像解析的籃球投籃技術(shù)生物力學(xué)分析[J];合肥工業(yè)大學(xué)學(xué)報(bào)(自然科學(xué)版);2012年10期

9 劉海燕;;淺談體�；@球運(yùn)動(dòng)員訓(xùn)練的模式[J];佳木斯教育學(xué)院學(xué)報(bào);2012年09期

10 孫殿恩;;籃球教學(xué)中罰球技術(shù)的生物力學(xué)分析[J];長(zhǎng)春理工大學(xué)學(xué)報(bào);2012年05期

，

本文編號(hào)：1740192