智能系统学报
智能繫統學報
지능계통학보
CAAI TRANSACTIONS ON INTELLIGENT SYSTEMS
2014年
1期
104-108
,共5页
郭利%曹江涛%李平%姬晓飞
郭利%曹江濤%李平%姬曉飛
곽리%조강도%리평%희효비
人体动作识别%Horn-Schunck光流%方向-数量级直方图%梯度直方图
人體動作識彆%Horn-Schunck光流%方嚮-數量級直方圖%梯度直方圖
인체동작식별%Horn-Schunck광류%방향-수량급직방도%제도직방도
human action recognition%Horn-Schunck optical flow%orientation-magnitude histograms%gradient histograms
为了提高光流信息在人体动作识别系统中应用的效果和效率,提出一种累计方向-数量级光流梯度直方图的人体动作特征表示方法。该方法首先利用Horn-Schunck充流算法计算图像光流,然后将光流矢量按照不同的方向-数量级进行直方图统计,得到单帧图像的方向-数量级的光流梯度直方图,最后将单帧图像的直方图特征在时间维上进行累积来表示整个视频动作的特征。利用该特征在KTH动作视频库上进行动作识别测试,4个场景的混合测试得到了87.5%的平均正确识别率,验证了算法的有效性。
為瞭提高光流信息在人體動作識彆繫統中應用的效果和效率,提齣一種纍計方嚮-數量級光流梯度直方圖的人體動作特徵錶示方法。該方法首先利用Horn-Schunck充流算法計算圖像光流,然後將光流矢量按照不同的方嚮-數量級進行直方圖統計,得到單幀圖像的方嚮-數量級的光流梯度直方圖,最後將單幀圖像的直方圖特徵在時間維上進行纍積來錶示整箇視頻動作的特徵。利用該特徵在KTH動作視頻庫上進行動作識彆測試,4箇場景的混閤測試得到瞭87.5%的平均正確識彆率,驗證瞭算法的有效性。
위료제고광류신식재인체동작식별계통중응용적효과화효솔,제출일충루계방향-수량급광류제도직방도적인체동작특정표시방법。해방법수선이용Horn-Schunck충류산법계산도상광류,연후장광류시량안조불동적방향-수량급진행직방도통계,득도단정도상적방향-수량급적광류제도직방도,최후장단정도상적직방도특정재시간유상진행루적래표시정개시빈동작적특정。이용해특정재KTH동작시빈고상진행동작식별측시,4개장경적혼합측시득도료87.5%적평균정학식별솔,험증료산법적유효성。
In order to improve the recognition rate and efficiency of optical flow in the human action recognition sys-tem, a novel method for human action representation based on the accumulated orientation-magnitude gradient his-tograms of the optical flow is proposed in this paper .First the image optical flow is computed , and then every flow vector is counted according to the orientation-magnitude to obtain orientation-magnitude histograms of single frame image.Finally information of the video sequence can be represented by accumulating orientation-magnitude histo-grams in time dimension .The proposed feature is evaluated on a standard database of human actions:KTH.The ex-periment conducted on the four scenes demonstrates that this algorithm is effective and achieves a correct recogni -tion rate of 87.5%with the KTH dataset .