Featured Application This paper proposes a deep-learning-based vehicle detection
technique that can achieve effective detection performance under extreme illumination …

Visual object tracking is an active topic in the computer vision domain with applications
extending over numerous fields. The main sub‐tasks required to build an object tracker (eg …

How to achieve competitive accuracy and less computation time simultaneously for
background estimation is still an intractable task. In this paper, an effective background …

A nighttime vehicle detection method in the multi‐lane intersection has been proposed
based on saliency detection for traffic surveillance system in this study. Frame difference …

Modern cars are being equipped with powerful computational resources for autonomous
driving systems (ADS) as one of their major parts to provide safer travels on roads. High …

In this paper, we present an effective convolutional neural network (CNN) for object counting
in video surveillance, namely multi-scale density map regressor (MSDMR). In contrast to …

Object detection is significant for event analysis in various intelligent multimedia processing
systems. Although there have been many studies conducting research in this area, effective …

Sažetak This article proposes a vehicle detection and speed measurement system to
estimate a vehicle's velocity by identifying its headlight properties in a nighttime …

Rich image information is one of the important means through which unmanned surface
vehicles effectively and reliably identify targets during autonomous navigation. However, the …

In order to improve the accuracy of general target detection by the surveillance camera in
the monitoring area, an improved SSD model named DC-SSD that integrates the …