Object Detection under Constrained Hardware Scenarios: A Comparative Study of Reduced Convolutional Network Architectures.
Jonas Henrique Renolfi de OliveiraIsaac Jesus da SilvaThiago Pedro Donadon HomemDouglas De Rizzo MeneghettiDanilo Hernani PericoReinaldo Augusto da Costa BianchiPublished in: LARS/SBR/WRE (2019)
Keyphrases
- object detection
- low cost
- real time
- hardware and software
- scene understanding
- computer vision
- computer systems
- object class
- face detection
- massively parallel
- object recognition
- object categories
- real world
- pedestrian detection
- multi class
- image processing
- comparative study
- object segmentation
- object classification
- computing power
- scene recognition
- hardware architecture
- learning scenarios
- sparse coding
- hardware implementation
- signal processing
- computing systems
- digital circuits
- vlsi implementation
- parallel hardware