计算机应用与软件
計算機應用與軟件
계산궤응용여연건
Computer Applications and Software
2015年
10期
216-219,247
,共5页
行人检测%边缘对称%等价局部二值模式%梯度直方图特征%线性支持向量机
行人檢測%邊緣對稱%等價跼部二值模式%梯度直方圖特徵%線性支持嚮量機
행인검측%변연대칭%등개국부이치모식%제도직방도특정%선성지지향량궤
Pedestrian detection%Edge symmetry%Uniform local binary patterns (ULBP)%Gradient histogram feature%Linear support vector machine
针对现有行人检测方法速度慢、无法满足实时性检测需求的缺点，提出一种基于边缘对称性和改进的等价局部二值模式的行人检测方法 ES-IULBP（Edge Symmetry and Improved Uniform Local Binary Patterns）。该方法首先对输入的图像进行垂直边缘提取并计算对称性，完成行人的初检测，确定行人候选区；然后引入等价局部二值模式，并对其改进，进行行人的纹理特征提取；最后结合线性支持向量机进行行人验证。实验结果表明，与基于梯度方向直方图特征的行人检测方法相比，ES-IULBP 检测速度快、准确率高，并具有较强的鲁棒性。
針對現有行人檢測方法速度慢、無法滿足實時性檢測需求的缺點，提齣一種基于邊緣對稱性和改進的等價跼部二值模式的行人檢測方法 ES-IULBP（Edge Symmetry and Improved Uniform Local Binary Patterns）。該方法首先對輸入的圖像進行垂直邊緣提取併計算對稱性，完成行人的初檢測，確定行人候選區；然後引入等價跼部二值模式，併對其改進，進行行人的紋理特徵提取；最後結閤線性支持嚮量機進行行人驗證。實驗結果錶明，與基于梯度方嚮直方圖特徵的行人檢測方法相比，ES-IULBP 檢測速度快、準確率高，併具有較彊的魯棒性。
침대현유행인검측방법속도만、무법만족실시성검측수구적결점，제출일충기우변연대칭성화개진적등개국부이치모식적행인검측방법 ES-IULBP（Edge Symmetry and Improved Uniform Local Binary Patterns）。해방법수선대수입적도상진행수직변연제취병계산대칭성，완성행인적초검측，학정행인후선구；연후인입등개국부이치모식，병대기개진，진행행인적문리특정제취；최후결합선성지지향량궤진행행인험증。실험결과표명，여기우제도방향직방도특정적행인검측방법상비，ES-IULBP 검측속도쾌、준학솔고，병구유교강적로봉성。
In order to overcome the drawbacks of existing pedestrian detection method that its speed is slow and cannot meet real-time de-tection requirement,we proposed a pedestrian detection method which is based on edge symmetry and improved uniform local binary patterns, namely ES-IULBP.First,the method extracts the vertical edges of the inputting image and computes their symmetry to pre-detect the pedestri-an,and sets the candidate region of pedestrians.Then it introduces the uniform local binary patterns and improves it,and extracts the texture feature of pedestrian,at last it combines the linear support vector machine to validate the pedestrian.Experimental result proves that com-pared with the pedestrian detection methods based on histogram feature in gradient orientations,the ES-IULBP method has fast detection speed and high accuracy,and has stronger robustness as well.
