Object detection is a fundamental perceptual skill in human, and plays an important role in
machine vision area. Effective object detection methods can help with video surveillance …

In this work, the performance of visual detection methods is improved from an aspect of
combining information from different channels. The efforts are two-fold: 1) combining motion …

In this paper, we propose an approach for object detection via structural feature selection
and part-based shape model. It automatically learns a shape model from cluttered training …

Detecting objects in images and videos is a difficult task that has challenged the field of
computer vision. Most of the algorithms for object detection are sensitive to background …

We propose an approach to improve the detection results of a generic offline trained
detector on frames from a specific video. For two consecutive frames of a video with the …

Due to the complexity of the scene and the diversity of objects, the objects in the scene of
outdoor surveillance video are difficult to detect, which involves such problems like the …

A method to detect generic objects by training with a few image samples is proposed. A new
feature, namely locally adaptive steering (LAS), is proposed to represent local principal …

This paper presents a method for detecting categories of objects in real-world images. Given
training images of an object category, our goal is to recognize and localize instances of …

Detecting object in unseen images is an challenging task because of the strong clutter
background, various scale of object and the deformation of class. In this paper, we present a …