Acceleration and energy consumption optimization in cascading classifiers for face detection on low-cost ARM big. LITTLE asymmetric architectures.
Alberto CorpasLuis CosteroGuillermo BotellaFrancisco D. IgualCarlos GarcíaManuel RodríguezPublished in: Int. J. Circuit Theory Appl. (2018)
Keyphrases
- face detection
- energy consumption
- haar features
- low cost
- adaboost algorithm
- haar like features
- wireless sensor networks
- boosted classifiers
- cascade classifier
- energy saving
- energy efficient
- object detection
- energy efficiency
- detection method
- detection rate
- sensor networks
- detection accuracy
- human faces
- energy conservation
- face recognition
- skin color
- routing protocol
- eye detection
- skin detection
- human face detection
- data center
- computer vision
- facial features
- complex background
- real time face detection
- face detector
- face detection and recognition
- total energy
- test set
- face tracking
- detecting faces
- support vector
- training data
- skin color segmentation
- detection algorithm
- residual energy
- object recognition
- face detection and tracking
- data sets
- action recognition
- frontal face
- active learning
- sensor nodes
- power consumption