TY - GEN
T1 - Face detection through compact classifier using adaptive look-up-table
AU - Hanai, Yuya
AU - Kuroda, Tadahiro
PY - 2009/1/1
Y1 - 2009/1/1
N2 - Face detection has been well studied in terms of accuracy and speed. However, required memory size reduction is still poorly studied, which is becoming a critical issue as platforms for face detection go tiny. In this paper, we propose a novel compact weak classifier using Adaptive Look-Up-Table (ALUT) for face detection on resource-constrained devices such as wearable sensor nodes. ALUT gives good approximation of log-likelihood [3] with fewer data, thus enabling the drastic reduction of classifier data size, keeping high accuracy and low computation cost. To generate an optimal ALUT, a new cost function called Weighted Sum of Absolute Difference (WSAD) is also proposed for further improvement. In our experiment, the classifier data size is reduced by 43% and the computation cost is reduced by 15% with same accuracy, compared to a conventional fixed LUT classifier.
AB - Face detection has been well studied in terms of accuracy and speed. However, required memory size reduction is still poorly studied, which is becoming a critical issue as platforms for face detection go tiny. In this paper, we propose a novel compact weak classifier using Adaptive Look-Up-Table (ALUT) for face detection on resource-constrained devices such as wearable sensor nodes. ALUT gives good approximation of log-likelihood [3] with fewer data, thus enabling the drastic reduction of classifier data size, keeping high accuracy and low computation cost. To generate an optimal ALUT, a new cost function called Weighted Sum of Absolute Difference (WSAD) is also proposed for further improvement. In our experiment, the classifier data size is reduced by 43% and the computation cost is reduced by 15% with same accuracy, compared to a conventional fixed LUT classifier.
KW - Dynamic programming
KW - Object detection
KW - Signal partitioning
KW - Wearable computing
UR - http://www.scopus.com/inward/record.url?scp=77951964054&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77951964054&partnerID=8YFLogxK
U2 - 10.1109/ICIP.2009.5413645
DO - 10.1109/ICIP.2009.5413645
M3 - Conference contribution
AN - SCOPUS:77951964054
SN - 9781424456543
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 1225
EP - 1228
BT - 2009 IEEE International Conference on Image Processing, ICIP 2009 - Proceedings
PB - IEEE Computer Society
T2 - 2009 IEEE International Conference on Image Processing, ICIP 2009
Y2 - 7 November 2009 through 10 November 2009
ER -