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ego\055motion\056 On UTKinect\054 it competes with methods that use depth image and skeletal joints information along with RGB images\054 while it surpasses previous methods that use only RGB images by more than 20\045 in recognition accuracy\056) /Subject (2017 IEEE International Conference on Computer Vision) >> endobj 3 0 obj << /Parent 1 0 R /Rotate 0 /Type /Page /Contents 12 0 R /Resources << /XObject << /x8 13 0 R /x6 16 0 R /x12 19 0 R /x10 22 0 R >> /ExtGState << /s9 25 0 R /s11 28 0 R /a0 << /CA 1 /ca 1 >> /R7 31 0 R /s5 32 0 R /s7 35 0 R >> /Font << /R10 38 0 R /F2 42 0 R /R12 43 0 R /F1 47 0 R /R14 48 0 R /R16 51 0 R /R8 55 0 R /R18 59 0 R >> /ProcSet [ /ImageC /Text /PDF /ImageI /ImageB ] >> /MediaBox [ 0 0 612 792 ] /Annots [ ] >> endobj 4 0 obj << /Parent 1 0 R /Rotate 0 /Type /Page /Contents 64 0 R /Resources << /ExtGState << /R69 65 0 R >> /Font << /F2 66 0 R /R8 55 0 R /R70 67 0 R /R10 38 0 R /F1 72 0 R /R16 51 0 R /R18 59 0 R >> /ProcSet [ /ImageC /Text /PDF /ImageI 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