This chapter provides four sections. The first section introduces the moving object D&T infrastructure and basis of some methods for object detection and tracking (D&T) in videos. In object D&T applications, there is manual or automatic D&T process. Also, the image features, such as color, shape, texture, contours, and motion can be used to track the moving object(s) in videos. The detailed inf...

Moving object detection and tracking play an important role in the intelligent video surveillance system. The traditional moving object detection algorithm seems sensitive to light and shows poor antiinterference performance. Therefore, a new method is proposed combining the inter-frame difference method with improved background subtraction method which makes use of color and texture informatio...

Simultaneous localization, mapping and moving object tracking (SLAMMOT) involves both simultaneous localization and mapping (SLAM) in dynamic environments and detecting and tracking these dynamic objects. In this paper, a mathematical framework is established to integrate SLAM and moving object tracking. Two solutions are described: SLAM with generalized objects, and SLAM with detection and tra...

This paper proposes a method to estimate position of a small moving object. It is difficult to fit dynamic model of a target object moving fast and anomalously. We focuses on a phenomenon that a high-velocity moving object is observed as a line-shaped region in captured images by motion blur. Shapefrom-silhouette technique is applied to estimate the 3D trajectory of the observed lines. We choos...

Event-based vision sensors, such as the Dynamic Vision Sensor (DVS), are ideally suited for real-time motion analysis. The unique properties encompassed in the readings of such sensors provide high temporal resolution, superior sensitivity to light and low latency. These properties provide the grounds to estimate motion extremely reliably in the most sophisticated scenarios but they come at a p...

A novel adaptive video object tracking algorithm is proposed using intensity based and feature based techniques which results in improved reliability and at the same time it aims to reduce computational complexity. This is achieved by intelligently combining SIFT and BMA and making it adaptive to the speed of the moving object. Tracking frame by frame using SIFT which is successful for detectin...

In this paper we present a novel method of detecting and tracking moving objects in H.264/SVC bitstreams for video surveillance applications. Efficient detection and reliable tracking of real moving objects are first performed in the spatial base layer of H.264/SVC based on a spatio-temporal graph which is constructed from the block partitions with non-zero motion vectors and/or non-zero residu...

LOCALIZATION, mapping and moving object tracking serve as the basis for scene understanding, which is a key prerequisite for making a robot truly autonomous. Simultaneous localization, mapping and moving object tracking (SLAMMOT) involves not only simultaneous localization and mapping (SLAM) in dynamic environments but also detecting and tracking these dynamic objects. It is believed by many th...

In this paper we recommend a novel method for detecting and tracking objects in the presence of cluttered background such as movements of leaves of trees, under various types of occlusion (object to object and object to scene occlusion) and scale change of object (small or large object) in real-time video. Object detection and tracking are two main terms of developing any tracking system. In ou...

In the field of computer vision, it is a complex and demanding much task to detect and to track moving objects from a moving observer. However, in this paper a new scheme for a mobile robot to track and capture a moving object using images of a camera is proposed. The system consists of the following modules: data acquisition, feature extraction and visual tracking, and trajectory generation. A...