IMAGE PROCESSING APPARATUS, IMAGING APPARATUS, MOBILE BODY, AND IMAGE PROCESSING METHOD

    公开(公告)号:US20210358159A1

    公开(公告)日:2021-11-18

    申请号:US17288829

    申请日:2019-10-01

    发明人: Kenji YAMAMOTO

    IPC分类号: G06T7/593 H04N13/239

    摘要: An image processing apparatus 10 includes an interface 12 configured to acquire a stereo image that includes a standard image and a reference image captured from different viewpoints and a processor 13 configured to perform low-rank approximation by singular value decomposition on the standard image and the reference image, and calculate a parallax by performing stereo matching processing between the standard image and the reference image that are subjected to the low-rank approximation by the singular value decomposition.

    OBJECT TRACKING DEVICE AND OBJECT TRACKING METHOD

    公开(公告)号:US20240212172A1

    公开(公告)日:2024-06-27

    申请号:US18557465

    申请日:2022-04-20

    IPC分类号: G06T7/277

    CPC分类号: G06T7/277

    摘要: An object tracking device and object tracking method that can track an object accurately without increasing the computational load are provided. An object tracking device (20) includes an input interface (21), a processor (23), and an output interface (24). The input interface (21) is configured to acquire sensor data. The processor (23) is configured to detect a detection target from the sensor data and track the detection target using Kalman filters associated with each of the detection target and an observed value. The output interface (24) is configured to output a detection result regarding the detection target. The processor (23) is configured to execute a first process to select a Kalman filter with low certainty from among a plurality of the Kalman filters associated with the same detection target or observed value as an exclusion candidate Kalman filter that could be excluded from the association, and a second process to exclude from the association and initialize the exclusion candidate Kalman filter that meets an initialization condition.

    OBJECT TRACKING DEVICE AND OBJECT TRACKING METHOD

    公开(公告)号:US20230368402A1

    公开(公告)日:2023-11-16

    申请号:US18250420

    申请日:2021-09-15

    IPC分类号: G06T7/277 G06T7/246

    摘要: Provided are an object tracking device and an object tracking method that allow multiple objects to be tracked with high accuracy. An object tracking device (20) includes an input interface (21), a processor (23), and an output interface (24). The input interface (21) is configured to acquire sensor data. The processor (23) is configured to detect multiple detection targets from the sensor data and perform tracking using a Kalman filter for each of the multiple detection targets. The output interface (24) is configured to output detection results of the detection targets. The processor (23) groups a plurality of the Kalman filters and determines whether or not each of the Kalman filters corresponds to an identical object.

    ELECTRONIC DEVICE, METHOD FOR CONTROLLING ELECTRONIC DEVICE, AND PROGRAM

    公开(公告)号:US20230305135A1

    公开(公告)日:2023-09-28

    申请号:US18248276

    申请日:2021-10-04

    IPC分类号: G01S13/56 G01S13/536 G01S7/41

    摘要: An electronic device includes a transmission antenna, a reception antenna, and a signal processor. The transmission antenna is configured to transmit a transmission wave. The reception antenna is configured to receive a reception wave resulting from reflection of the transmission wave. The signal processor is configured to detect an object, with a constant false error rate, based on a transmission signal transmitted as the transmission wave and a reception signal received as the reflection wave, The signal processor selects, based on a maximum likelihood estimated value that gives a false alarm rate of signal intensity based on the reception signal, a reference cell disposed in a distance direction with respect to an inspection cell in a two-dimensional distribution of signal intensity, based on the reception signal, in the distance direction and a relative velocity direction.

    INFORMATION PROCESSING APPARATUS, SENSING APPARATUS, MOBILE OBJECT, AND METHOD FOR PROCESSING INFORMATION

    公开(公告)号:US20230046397A1

    公开(公告)日:2023-02-16

    申请号:US17757875

    申请日:2020-12-22

    发明人: Kenji YAMAMOTO

    IPC分类号: G06T7/246 G06T7/70 G01C5/00

    摘要: An information processing apparatus includes an input interface, a processor, and an output interface. The input interface obtains observation data obtained from an observation space. The processor detects a detection target included in the observation data. The processor maps coordinates of the detected detection target as coordinates of a detection target in a virtual space, tracks a position and a velocity of a material point indicating the detection target in the virtual space, and maps coordinates of the tracked material point in the virtual space as coordinates in a display space. The processor sequentially observes a size of the detection target in the display space and estimates a size of a detection target at a present time on a basis of observed values of a size of a detection target at the present time and estimated values of a size of a past detection target. The output interface outputs output information based on the coordinates of the material point mapped to the display space and the estimated size of the detection target.

    OBJECT TRACKING DEVICE
    7.
    发明公开

    公开(公告)号:US20240144491A1

    公开(公告)日:2024-05-02

    申请号:US18557520

    申请日:2022-04-20

    IPC分类号: G06T7/277

    CPC分类号: G06T7/277

    摘要: An object tracking device that can track an object accurately and consistently is provided. An object tracking device (20) includes an input interface (21), a processor (23), and an output interface (24). The input interface (21) is configured to acquire sensor data. The processor (23) is configured to detect a detection target from the sensor data and track the detection target using Kalman filters associated with each of the detection target and an observed value. The output interface (24) is configured to output a detection result regarding the detection target. The processor (23) is configured to impose a limit on a range of variation in an index of the Kalman filters that influences tracking of the detection target.