Fire detection based on vision sensor and support vector machines

By ByoungChul Ko, Kwang-Ho Cheong, J. Nam. 2009

407 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Safety, Risk, Reliability and Quality

View Paper: https://www.semanticscholar.org/paper/464c0d4aab6ebb97829ee4f7beae1519dee5e3aa

How researchers see this paper

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

In Computer Vision and Pattern Recognition

1. Khan Muhammad
2. Sung Wook Baik
3. Jamil Ahmad

In Electrical and Electronic Engineering

1. Khan Muhammad
2. Paolo Bellavista
3. Sung Wook Baik
4. Jamil Ahmad

In Safety, Risk, Reliability and Quality

1. Khan Muhammad
2. Sung Wook Baik
3. Jamil Ahmad

Citations in the corpus

• Efficient Deep CNN-Based Fire Detection and Localization in Video Surveillance Applications (2019, background): “different applications such as setting off a fire alarm [1], 27 vehicle obstacle detection, visualizing the interior of the 28 human body for diagnosis [2]–[4], animal and ship monitor29”
• HISTOGRAM-BASED SMOKE SEGMENTATION IN FOREST FIRE DETECTION SYSTEM (2009, unknown): “Different approaches and sensor inputs are used for the automatic detection of fire [2] [3], ranging from IR sensors to identify heat flux from the fire [4], light detection and ranging (LIDAR) systems [5] [6] that measure the laser light backscattered by the smoke particles, detection of smoke on…”