Enhance the recognition ability to occlusions and small objects with Robust Faster R-CNN.
Tao ZhouZhixin LiCanlong ZhangPublished in: Int. J. Mach. Learn. Cybern. (2019)
Keyphrases
- partial occlusion
- cluttered background
- occluded objects
- background clutter
- robust recognition
- robust tracking
- object tracking
- d objects
- visual tracking
- recognition rate
- mean shift
- object recognition
- illumination variations
- object class
- varying illumination conditions
- recognition accuracy
- object models
- lighting conditions
- tracking objects
- real world conditions
- convolutional neural network
- cellular neural networks
- ar face database
- object representation
- complex background
- illumination invariance
- partially occluded
- recognizing objects
- particle filter
- feature extraction
- three dimensional objects
- object representations
- multiple moving objects
- object segmentation
- partially occluded objects
- object detection
- objects in cluttered scenes
- hidden markov models