ISETAuto: Detecting Vehicles With Depth and Radiance Information

Detecting Overtaking Vehicles With Implicit Optical Flow

Iterative Feedback Estimation of Depth and Radiance from Defocused Images

This paper presents a novel iterative feedback framework for simultaneous estimation of depth map and All-In-Focus (AIF) image, which benefits each other in each stage to obtain final convergence: For the recovery of AIF image, sparse prior of natural image is incorporated to ensure high quality defocus removal even under inaccurate depth estimation. In depth estimation step, we feed back the c...

Detecting and counting vehicles using adaptive background subtraction and morphological operators in real time systems

vehicle detection and classification of vehicles play an important role in decision making for the purpose of traffic control and management.this paper presents novel approach of automating detecting and counting vehicles for traffic monitoring through the usage of background subtraction and morphological operators. We present adaptive background subtraction that is compatible with weather and ...

Detecting and Tracking Vehicles in a Roundabout

In the paper, a procedure for detecting and tracking vehicles in a roundabout is presented. The image subtraction technique is used, along with geometric and radiometric filters. The problems due to the camera motion and the vehicle images overlapping are discussed. The results of a test regarding a roundabout are presented, in a case with a negligible variation of the background radiometric ch...

Breaking the Depth Dependency of Phototherapy with Cerenkov Radiation and Low Radiance Responsive Nanophotosensitizers

The combination of light and photosensitizers for phototherapeutic interventions, such as photodynamic therapy, has transformed medicine and biology. However, the shallow penetration of light into tissues and the reliance on tissue oxygenation to generate cytotoxic radicals have limited the method to superficial or endoscope-accessible lesions. Here we report a way to overcome these limitations...