Vehicle Detection Using Normalized Color and Edge Map

By Luo-Wei Tsai, Jun-Wei Hsieh, Kuo-Chin Fan. IEEE Transactions on Image Processing, 2007

296 citations recorded by the source corpus.

Subfields: Automotive Engineering, Computer Vision and Pattern Recognition, Media Technology

View Paper: https://www.semanticscholar.org/paper/f620d022b7271cf81640049a47258ce2fba4234a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Automotive Engineering

1. Likun Xia
2. Amir Mukhtar
3. T. Tang

In Computer Vision and Pattern Recognition

1. Giuseppe Amato
2. Claudio Gennaro
3. Fabrizio Falchi
4. Likun Xia
5. Amir Mukhtar
6. T. Tang
7. Luca Ciampi

In Media Technology

1. Giuseppe Amato
2. Fabrizio Falchi
3. Claudio Gennaro
4. Likun Xia
5. Amir Mukhtar
6. T. Tang

Citations in the corpus

• Vehicle Detection Techniques for Collision Avoidance Systems: A Review (2015, methodology): “shadow under vehicle [35], [36], [82], edges [83], corners [34], symmetry [84]–[89], texture [90], color [91] and lights of vehicle [92], [93].”
• Deep learning for decentralized parking lot occupancy detection (2017, methodology): “(Tsai et al., 2007) trained a Bayesian classifier to verify the detection of vehicles based on corners, 120”