Index

a Action recognition 9 Advance driver assistance systems (ADAS) 153, 174 Adverse outdoor conditions 166-167 Adverse weather conditions 168 Aerial surveillance 163-164 AGFOF method 105 Alley-1 sequences 72, 74, 78, 131 Ant's motion dataset 109-110 Appearance-based features 71-72 Augmented reality (AR) 8, 35, 41 Autonomous driving systems 1, 6, 7, 15, 37, 174 Autonomous vehicles 3, 7-8, 34, 155-156, 169 collision avoidance systems 155-156 obstacle detection 155-156 pedestrian and cyclist detection 156 scene reconstruction and mapping 156 Average Angular Error (AAE) 44, 78, 104, 105 Average variance 112 b Bamboo sequence 78 Bayesian optical flow 32 algorithms 30 Bicubic/bilinear interpolation 29 Bilateral filtering method 25 Brightness constancy 10, 15 assumption 21-22, 28, 47-48 c Camera shake and movement 165 CDnet2014 dataset 46, 75, 81-82 Classical optical flow estimation models 21-22 aperture problem 21 brightness constancy assumption 21-22 Classic+nl-fast method 78 Cloud-based processing 158, 169 Clustering techniques 69 Coarse-to-fine flow refinement 90-91 Coarse-to-fine optimization 115 framework 123-124 Coarse-to-fine process 103, 110 Coarse-to-fine strategy 67 Collision avoidance systems 155-156 Color-coding system 5 Complex outdoor datasets 78-81 Computational complexity reduction 93 Computational efficiency 124 Computer vision technologies 5 Conventional smoothing filters 120 Robust Optical Flow Estimation in Outdoor Environments, First Edition.