Compressive sensing method for recognizing cat-eye effect targets

Li, Li; Li, Hui; Dang, Ersheng; Liu, Bo

doi:10.1364/ao.52.007033

Cited by 24 publications

(8 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As Ref. [10] reported, the average runtimes of the recent methods SFDC [7], SPCS [8], serial MSPF [9], and parallel MSPF [9] are 6.182s, 3.435s, 1.852s, and 1.203s respectively. Therefore, our method exhibited a superior average processing speed in comparison with the recent methods.…”

Section: Experiments and Analysismentioning

confidence: 86%

See 1 more Smart Citation

A Fast Recognition Algorithm for Photoelectric Peeping Equipment

Zhang¹,

Feng²

2017

dtcse

View full text Add to dashboard Cite

The spreading use of concealed miniature photoelectric devices threatens the information security of interior activities. Information leaking from interior environments like meeting room, drama theatre, technical lab and private space may cause serious social problems or commercial losses. To solve the critical problem, this study proposed a practical system based on the "cat-eye effect" to detect the interior optical targets in real time. The proposed method reduces false positives based on strength of the echo signals and shape of the laser cross section. A morphological criterion is presented to determine the true target. Laboratory experiments have been performed repeatedly with different kinds of interference and background of different complexity to validate the proposed method. The results indicated that the true target was recognized accurately and rapidly. Moreover, the recognition results were demonstrated not influenced by external light illumination conditions. The average runtime was 67ms which is superior to the recent methods in the literature.

show abstract

Section: Experiments and Analysismentioning

confidence: 86%

“…Ren [7] used the frequency-modulated laser for detection and used the characters of the target's response for discrimination. Li and Jian also proposed multi-frame strategies using technologies of compressed sensing [8,9] and saliency extraction [10].…”

Section: Introductionmentioning

confidence: 99%

A Fast Recognition Algorithm for Photoelectric Peeping Equipment

Zhang¹,

Feng²

2017

dtcse

View full text Add to dashboard Cite

show abstract

“…Preprocessing operations include background difference, image gaining, and region of interest (ROI) selection. The background difference method is explained in detail by Li et al [17]. Image gaining is a digital image processing method that increases the gray value of an image.…”

Section: Image Processing Algorithmmentioning

confidence: 99%

Design of an Active Laser Mini-Camera Detection System Using CNN

et al. 2019

View full text Add to dashboard Cite

The growing popularity of the mini-camera is posing a serious threat to privacy and personal security. Disguised as common tools in rooms, these devices can become undetectable. Moreover, conventional active laser detection systems often fail to recognize them owing to their small lens size, weak reflectivity, and the influence of interference targets. In this paper, a method for building a laser active detection system for minicameras is proposed. Using a monostatic optical system and a deep learning classification algorithm, this anti-camera system can detect mini-cameras accurately in real time. This article describes the system components including its optical design, core components and image processing algorithm. The capability of the system for detecting mini-cameras and identifying interference is also experimentally demonstrated. This work successfully overcomes the limit of mini-camera detection using deep learning methods in active laser detection systems.

show abstract

“…In the application scenario of anti-terrorism and stability maintenance, the cat-eye effect can be used for high-precision detection of passive imaging equipment such as cameras and telescopes by using actively launched reconnaissance lasers [9]. At present, the laser reconnaissance system based on cat-eye echo detection technology has been widely used, which poses a severe challenge to the concealment and security of photoelectric imaging equipment [10]. Therefore, some reasonable and feasible techniques should be adopted to reduce or eliminate the ubiquitous cat-eye effect in the current photoelectric imaging system, thereby reducing the probability of being detected by the laser.…”

Section: Introductionmentioning

confidence: 99%

A Retroreflection Reduction Technique Based on the Wavefront Coded Imaging System

et al. 2021

Crystals

View full text Add to dashboard Cite

A novel anti-cat-eye effect imaging technique based on wavefront coding is proposed as a solution to the problem of previous anti-cat-eye effect imaging techniques where imaging quality was sacrificed to reduce the retroreflection from the photoelectric imaging equipment. With the application of the Fresnel–Kirchhoff diffraction theory, and the definition of generalized pupil function combining both phase modulation and defocus factors, the cat-eye echo formation of the wavefront coded imaging system is theoretically modeled. Based on the physical model, the diffracted spot profile distribution and the light intensity distribution on the observation plane are further simulated with the changes in the defocus parameter and the phase modulation coefficient. A verification test on the cat-eye laser echo power of the wavefront coded imaging system and that of the conventional imaging system at a 20 m distance are conducted, respectively. Simulations and experiment results show that compared with conventional imaging systems, the wavefront coding imaging system can reduce the retroreflection echo by two orders of magnitude while maintaining better imaging quality through defocusing.

show abstract

Compressive sensing method for recognizing cat-eye effect targets

Cited by 24 publications

References 23 publications

A Fast Recognition Algorithm for Photoelectric Peeping Equipment

A Fast Recognition Algorithm for Photoelectric Peeping Equipment

Design of an Active Laser Mini-Camera Detection System Using CNN

A Retroreflection Reduction Technique Based on the Wavefront Coded Imaging System

Contact Info

Product

Resources

About