SYSTEM AND METHOD FOR VIDEO DETECTION OF SMOKE AND FLAME

• US 20110058706A1
• Filed: 05/08/2008
• Published: 03/10/2011
• Est. Priority Date: 05/08/2008
• Status: Abandoned Application

• Current Assignee: UTC Fire & Security (Rtx Corporation)
• Original Assignee: UTC Fire & Security (Rtx Corporation)
• Inventors: Finn, Alan Matthew, Caballero, Rodrigo E., Wang, Hongcheng, Peng, Pei-Yuan, Xiong, Ziyou
• Application Number:
  US12/736,749
• Publication Number:
  US 20110058706A1
• Time in Patent Office: Days
• US Class Current: 382/100
• CPC Class Codes: G06V 20/52 Surveillance or monitoring of activities, e.g. for recognising suspicious objects recognising microscopic objects G06V20/69

Abstract

A video recognition system detects the presence of fire based on video data provided by one or more video detectors. The video recognition system is operable to calculate a first flicker feature with respect to a first set of frame data and a second flicker feature with respect to a second set of frame data. The video recognition system combines the first flicker feature and the second flicker feature to generate an accumulated flicker feature. The video recognition system defines, based on the accumulated flicker feature, a flicker mask that represents a dynamic region of the fire. Based on the defined flicker mask, the video recognition system determines whether the video data indicates the presence of fire.

Claims

1. A method of detecting fire using video analysis, the method comprising:

acquiring video data comprised of individual frames and organized into a plurality of frame data sets;

calculating a plurality of flicker features corresponding to each of the plurality of frame data sets;

combining the plurality of flicker features to generate an accumulated flicker feature;

defining a flicker mask based on the accumulated flicker feature, the flicker mask representing a dynamic region of the fire;

determining the presence of fire in the acquired video data based on the defined flicker mask; and

generating an output based on the resulting determination of whether the acquired video data is indicative of the presence of fire.

2. The method of claim 1, wherein combining the plurality of flicker features includes applying a logical ‘

OR’

operation to each of the plurality of flicker features.

3. The method of claim 1, wherein combining the plurality of flicker feature includes summing each of the plurality of flicker features.

4. The method of claim 1, further including:

defining a static region based on a boundary associated with the defined flicker mask.

5. The method of claim 4, wherein determining the presence of fire includes analyzing the relationship between the geometry of the static region and the geometry of the dynamic region as defined by the flicker mask.

6. The method of claim 1, wherein the plurality of frame data sets includes a first set of frame data and a second set of frame data, wherein video frames included within the first set of frame data are included in the second set of frame data.

7. A video recognition system comprising:

a frame buffer operably connectable to receive video data comprised of a plurality of individual frames and to store the received video data;

a flicker feature calculator that calculates a plurality of flicker features, each flicker feature associated with one of a plurality of frame data sets;

a flicker feature accumulator that combines the plurality of flicker features calculated with respect to each of the plurality of frame data sets to generate an accumulated flicker feature;

a flicker mask generator that defines a flicker mask based on the accumulated flicker feature, wherein the flicker mask represents a dynamic portion of a potential fire; and

decisional logic that determines based on the defined flicker mask whether the video data is indicative of fire and generates an output to that effect.

8. The video recognition system of claim 7, wherein the flicker feature calculator calculates the plurality of flicker features using one of the following algorithms:

a Discrete Fourier Transform (DFT), an incremental DFT, a Fast Fourier Transform (FFT), a Wavelet Transform, a Mean Crossing Rate (MCR), a Discrete Cosine Transform (DCT), an incremental DCT, a Fast Cosine Transform (FCT), a Discrete Sine Transform (DST), an incremental DST, and a Fast Sine Transform (FST).

9. The system of claim 7, wherein the plurality of frame data sets includes a first set of frame data and a second set of frame data, wherein video frames included within the first set of frame data are included in the second set of frame data.

10. The system of claim 7, wherein the flicker mask generator defines a static region based on a boundary of the flicker mask.

11. The system of claim 10, wherein the decisional logic detects the presence of fire based on a relationship between the static region and the dynamic region, as defined by the flicker mask.

12. The system of claim 7, wherein the decisional logic employs one of the following means for determining whether the defined flicker mask indicates the presence of fire:

a learned model, a support vector machine (SVM), a neural net, a Bayesian classifier, a statistical hypothesis test, and a fuzzy logic classifier.

13. A system for detecting the presence of fire based on video analysis, the system comprising:

means for acquiring video data comprised of individual frames and organized into a plurality of frame data sets, each frame comprised of a plurality of pixels;

means for storing the acquired video as a plurality of frame data sets;

means for calculating a plurality of flicker features corresponding to pixels in each of the plurality of frame data sets;

means for combining the plurality of flicker features calculated with respect to each of the plurality of frame data sets to generate an accumulated flicker feature;

means for defining a flicker mask based on the accumulated flicker feature, the flicker mask representing a dynamic region of the fire;

means for determining the presence of fire in the acquired video data based on the defined flicker mask; and

means for generating an output based on the resulting determination of whether the acquired video data is indicative of the presence of fire.

14. The system of claim 13, further including:

means for defining a static region based on a boundary associated with the defined flicker mask.

15. The system of claim 14, wherein the means for determining the presence of fire includes means for analyzing the relationship between the geometry of the static region and the geometry of the dynamic region as defined by the flicker mask.

16. The system of claim 13, wherein the plurality of frame data sets includes a first set of frame data and a second set of frame data, wherein video frames included within the first set of frame data are included in the second set of frame data.

17. A computer readable storage medium encoded with a machine-readable computer program code for generating a fire detection output, the computer readable storage medium including instructions for causing a controller to implement a method comprising:

acquiring video data comprised of individual frames, each frame comprised of a plurality of pixels;

organizing the individual frames into a plurality of frame data sets;

calculating a plurality of flicker features for each of the plurality of frame data sets;

combining the plurality of flicker features calculated with respect to each of the plurality of frame data sets to generate an accumulated flicker feature for each pixel in the acquired video data;

defining a flicker mask based on the accumulated flicker feature, the flicker mask representing a dynamic region of the fire;

determining the presence of fire in the acquired video data based on the defined flicker mask; and

generating an output based on the resulting determination of whether the acquired video data is indicative of the presence of fire.