Many researchers are getting attracted in the field of object tracking in video surveillance,
which is an important application and emerging research area in image processing. Video …

Understanding human behaviors is a challenging problem in computer vision that has
recently seen important advances. Human behavior understanding combines image and …

In this paper, we present SlugCam, a solar-powered, wireless smart camera network that
can be used in a variety of outdoor applications including video surveillance of public …

A taxonomy of wireless visual sensor networks for surveillance offers design goals that try to
balance energy efficiency and application performance requirements. SWEETcam, a …

Convolutional neural networks are a popular choice for current object detection and
classification systems. Their performance improves constantly but for effective training, large …

The main objective of this paper is to develop multiple human object tracking approach
based on motion estimation and detection, background subtraction, shadow removal and …

The emergence of video surveillance is the most promising solution for people living
independently in their home. Recently several contributions for video surveillance have …

This research paper presents the extensive survey of the stateof-the-art detection of object
from video and also classifies the detection approaches into different categories. Detection …

In the current scenario, Intelligent Transportation Systems play a significant role in smart city
platform. Automatic moving vehicle detection from video sequences is the core component …

Unlike terrestrial networks, the received signal strength in maritime wireless networks are
subjected to perturbations due to the sea movement. Surface motions at sea cause …