Hand Detection Zhong Zhang
Skin and motion detector
Skin and Motion Detector Top 1 candidate Skin indicator Motion indicatorSkin and motion indicator
Result Top 1 candidate Top 2 candidate s Top 3 candidate s Top 4 candidate s Top 5 candidate s Top 8 candidate s Top 20 candidate s mp ---- sm mp ---- sm mp ---- sm mp ---- sm mp ---- sm mp ---- sm mp ---- sm Gallaudet % % 74.33% % 79.05% % 81.49% % 82.66% % 85.29% % 93.12% % Liz % % 39.41% % 44.48% % 47.75% % 50% % 52.57% % 59.23% % Tyler % % 41.20% % 48.77% % 53.91% % 58.20% % 64.82% % 76.86% % Mp: hand detection using multiple proposals. Sm: skin and motion detector. The detection is considered as correct if the distance between the center of the detection box and annotation box is less than half of face box width. The box size is [35 35].
Result Top 1 candidate Top 2 candidates Top 3 candidates Top 4 candidates Top 5 candidates Top 8 candidates Top 20 candidates mp ---- sm mp ---- sm mp ---- sm mp ---- sm mp ---- sm mp ---- sm mp ---- sm Gallaudet 100 ([40 40]) 34.7% % 50.87% % 54.17% % 55.26% % 55.87% % 56.57% % 60.49% % Liz 100 ([30 30]) 5.92% % 7.14% % 7.41% % 7.47% % 7.49% % 7.53% % 8.05% % Tyler 100([35 35]) 10.56% % 13.31% % 14.23% % 15% % 15.49% % 16.22% % 19.78% % Mp: hand detection using multiple proposals. Sm: skin and motion detector. The detection is considered as correct if the overlap score between detection and annotation is larger than 0.5
Result
Top 1 candidateTop 2 candidatesTop 4 candidatesTop 8 candidatesTop 20 candidates >= 0.3 >= 0.4 >= 0.5 >= 0.3 >= 0.4 >= 0.5 >= 0.3 >= 0.4 >= 0.5 >= 0.3 >= 0.4 >= 0.5 >= 0.3 >= 0.4 >= 0.5 Gallaudet 100 ([40 40]) 62.3 % 55.2 % 42.2 % 79.2 % 73.2 % 57%88.2 % 83.9 % 66.2 % 96.4 % 93.3 % 74.6 % 99.6 % 97.2 % 78.2 % Liz 100 ([30 30])62.9 % 54.7 % 43.9 % 78.4 % 70.9 % 57.3 % 88.1 % 83.4 % 67.4 % 96.2 % 93.3 % 75.2 % 99.9 % 98.2 % 79% Tyler 100([35 35])62.8 % 54.9 % 42.9 % 75.3 % 68.9 % 54.8 % 85.5 % 81.5 % 65.7 % 95.7 % 93.7 % 76.2 % 99.8 % 98.9 % 80.3 % The detection is considered as correct if the overlap score between detection and annotation is larger than a threshold. In the this table, this threshold can be 0.3, 0.4 and 0.5